Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
34
datasets available to search
ShareScore release 0.9.0
Dataset results
34 results for “DLC”
Document Liveness Challenge (DLC-2021) - part 1 (or, cg)
<p>Dataset DLC-2021 consists of 1424 video clips captured in a wide range of real-world conditions and focused on ID document forensics tasks. Each clip was shot vertically and was at least 5 seconds long. Frames extracted at 10 frames per second and for the 50 first extracted frames document position is manually annotated.<br> The novelty of the dataset is that it contains shots from video with color laminated mock ID documents, color unlaminated copies, grayscale unlaminated copies, and screen recaptures of the documents. The proposed dataset complies with the GDPR because it contains images of synthetic IDs with generated owner photos and artificial personal information.</p> <p>Part 1 contains videos, frames and markup for “original” laminated documents from MIDV-2020 collection and unlaminated gray copies. <br> Part 2 contains videos, frames and markup for documents recaptured from device screen<br> Part 3 contains videos, frames and markup for unlaminated color copies.</p> <p><strong>Share and Cite</strong></p> <p><em>MDPI and ACS Style</em></p> <p>Polevoy, D.V.; Sigareva, I.V.; Ershova, D.M.; Arlazarov, V.V.; Nikolaev, D.P.; Ming, Z.; Luqman, M.M.; Burie, J.-C. Document Liveness Challenge Dataset (DLC-2021). <em>J. Imaging</em> <strong>2022</strong>, <em>8</em>, 181. https://doi.org/10.3390/jimaging8070181</p> <p><em>AMA Style</em></p> <p>Polevoy DV, Sigareva IV, Ershova DM, Arlazarov VV, Nikolaev DP, Ming Z, Luqman MM, Burie J-C. Document Liveness Challenge Dataset (DLC-2021). <em>Journal of Imaging</em>. 2022; 8(7):181. https://doi.org/10.3390/jimaging8070181</p> <p><em>Chicago/Turabian Style</em></p> <p>Polevoy, Dmitry V., Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad M. Luqman, and Jean-Christophe Burie. 2022. "Document Liveness Challenge Dataset (DLC-2021)" <em>Journal of Imaging</em> 8, no. 7: 181. https://doi.org/10.3390/jimaging8070181</p>
ejercicio_DLC_PabloCalatayud
<p>ejercicio_DLC_PabloCalatayud</p>
Scratch test on DLC
<p>Representative scratch test on DLC topcoat applied to prototypes in the ALCOM PoC Project – Spoke 11</p>
Text-fig. 1. Dental nomenclature. Peignecyon felinoides n. gen. et n. sp. a) TU 73916 upper right M1 in occlusal view; b) TU 7391147 lower right m1, b1) lingual view, b2) occlusal view. Abbreviations: bde, basal distobuccal expansion*; bc, buccal cingulum; Ec, ectoflexus; dc, distal cingulum; dlc, distolingual cristid; end, entoconid; hyd, hypoconid; lc, lingual cingulum; ME, metacone; MEC, metaconule; mc, mesial cingulum; med, metaconid; mlc, mesiolingual cristid; mpc, mesial protoconid cristid; MS, metastyle; PA, paracone; PAC, paraconule; pad, paraconid; PR, protocone; prd, protoconid; PS, parastyle. *Not developed in Peignecyon felinoides. in A New Thaumastocyoninae (Amphicyonidae, Carnivora) From The Early Miocene Of Tuchořice, The Czech Republic
Text-fig. 1. Dental nomenclature. Peignecyon felinoides n. gen. et n. sp. a) TU 73916 upper right M1 in occlusal view; b) TU 7391147 lower right m1, b1) lingual view, b2) occlusal view. Abbreviations: bde, basal distobuccal expansion*; bc, buccal cingulum; Ec, ectoflexus; dc, distal cingulum; dlc, distolingual cristid; end, entoconid; hyd, hypoconid; lc, lingual cingulum; ME, metacone; MEC, metaconule; mc, mesial cingulum; med, metaconid; mlc, mesiolingual cristid; mpc, mesial protoconid cristid; MS, metastyle; PA, paracone; PAC, paraconule; pad, paraconid; PR, protocone; prd, protoconid; PS, parastyle. *Not developed in Peignecyon felinoides.
Spectroscopic ellipsometry mapping of PAAO:DLC:Ag (AJ-8-03-31-DLCAg sample)
<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO) covered with hydrogenated amorphous diamond-like carbon and silver (DLC:Ag) nanocomposite. The sample was made by 2 processes: (1) anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 5 minutes and 4 seconds and then (2) depositing DLC:Ag employing reactive unbalanced magnetron sputtering in direct current mode using silver target (80 sccm argon gas flow, 5.4 sccm C<sub>2</sub>H<sub>2</sub> gas flow, 405 V voltage, 0.09-0.10 A current, 7·10<sup>-3</sup> mbar work pressure, 2 minutes 32 seconds process duration).</p> <p>The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-8-03-31-DLCAg Ellipsometry Mapping Measurements.rar" file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 55°, 60°, 65°, 70°, 75°.</p> <p>Light beam size: microspot (365 × 470 μm<sup>2</sup> at 75° angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with DLC:Ag. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7056065">https://doi.org/10.5281/zenodo.7056065</a></p>
Spectroscopic ellipsometry mapping of PAAO:DLC:Ag (AJ-7-03-31-DLCAg sample)
<p>Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO) covered with hydrogenated amorphous diamond-like carbon and silver (DLC:Ag) nanocomposite. The sample was made by 2 processes: (1) anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 35 seconds and then (2) depositing DLC:Ag employing reactive unbalanced magnetron sputtering in direct current mode using silver target (80 sccm argon gas flow, 5.4 sccm C<sub>2</sub>H<sub>2</sub> gas flow, 405 V voltage, 0.09-0.10 A current, 7·10<sup>-3</sup> mbar work pressure, 2 minutes 32 seconds process duration).</p> <p>The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm<sup>2</sup>). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-7-03-31-DLCAg Ellipsometry Mapping Measurements.rar" file.</p> <p>Ellipsometer: rotating compensator GES5-E (Semilab).</p> <p>Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum.</p> <p>Detector: UV-Vis CCD with 0.8 nm resolution.</p> <p>Spectral range: approximately 230-960 nm.</p> <p>Light incidence angles: 55°, 60°, 65°, 70°, 75°.</p> <p>Light beam size: microspot (365 × 470 μm<sup>2</sup> at 75° angle of incidence).</p> <p>The same sample was also measured using the same spectroscopic ellipsometry method before being covered with DLC:Ag. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7053393">https://doi.org/10.5281/zenodo.7053393</a></p>
FDTD simulation of various thickness PAAO covered with Ag NPs and DLC in different mediums (AoI 45 deg., p-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 230/260/290/320/350 nm thickness (<em>h</em>) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 60 nm diameter (<em>AgRNP</em>) silver (Palik) nanoparticles (Ag NPs) placed directly above each pore; 60 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon (DLC). Ag nanoparticles are encapsulated in DLC. DLC optical properties are averaged result of the matrix properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; p-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>h</em> - thickness of PAAO; <em>AgRNP</em> - diameter of silver nanoparticles; <em>DLC</em> - thickness of DLC; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.jpg</em>" - a schematic of modeled structure. (6) "<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_SE_nk_average.txt</em>" - contains DLC optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
FDTD simulation of stack of 320 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 320 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.png</em>" - a schematic of modeled structure. (6) "PAAO320nm<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
FDTD simulation of stack of 290 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 290 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.png</em>" - a schematic of modeled structure. (6) "<em>PAAO290nm.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
FDTD simulation of stack of 260 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: aluminum (Palik) substrate; 260 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure.</p> <p>Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>).</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.jpg</em>" - a schematic of modeled structure. (6) "<em>PAAO260nm.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
FDTD simulation of various thickness DLC:Ag mixture on quartz substrate in different mediums (AoI 45 deg., s-polarization)
<p>FDTD software: Lumerical (Ansys, version 2021 R2.3).</p> <p>Structure: SiO<sub>2</sub> (Palik) substrate; 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: <a href="https://doi.org/10.5281/zenodo.7341684">https://doi.org/10.5281/zenodo.7341684</a> The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases.</p> <p>Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3.</p> <p>Simulation region: from 300 nm below the substrate/DLC:Ag interface to 1.3 µm above it.</p> <p>Mesh override region: from 50 nm below the substrate/DLC:Ag interface to 50 nm above DLC:Ag; 2 nm step size in each direction.</p> <p>Light source: BFAST plane wave light source; 500 nm above the substrate/DLC:Ag interface; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>). The model structure is not periodic, however, BFAST light source was used for easier comparison with other structures with the same material, which are periodic.</p> <p>Monitor (frequency domain field and power): 2D Z-normal; 1 µm above the substrate/DLC:Ag interface; results are in "<em>_reflection.txt</em>" files.</p> <p>Information in the file name: <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>onQ</em> - indicates quartz substrate; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium.</p> <p>Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).</p>
Document Liveness Challenge (DLC-2021) - part 3 (cc)
<p>Dataset DLC-2021 consists of 1424 video clips captured in a wide range of real-world conditions and focused on ID document forensics tasks. Each clip was shot vertically and was at least 5 seconds long. Frames extracted at 10 frames per second and for the 50 first extracted frames document position is manually annotated.<br> The novelty of the dataset is that it contains shots from video with color laminated mock ID documents, color unlaminated copies, grayscale unlaminated copies, and screen recaptures of the documents. The proposed dataset complies with the GDPR because it contains images of synthetic IDs with generated owner photos and artificial personal information.</p> <p>Part 1 contains videos, frames and markup for “original” laminated documents from MIDV-2020 collection and unlaminated gray copies. <br> Part 2 contains videos, frames and markup for documents recaptured from device screen<br> Part 3 contains videos, frames and markup for unlaminated color copies.</p> <p><strong>Share and Cite</strong></p> <p><em>MDPI and ACS Style</em></p> <p>Polevoy, D.V.; Sigareva, I.V.; Ershova, D.M.; Arlazarov, V.V.; Nikolaev, D.P.; Ming, Z.; Luqman, M.M.; Burie, J.-C. Document Liveness Challenge Dataset (DLC-2021). <em>J. Imaging</em> <strong>2022</strong>, <em>8</em>, 181. https://doi.org/10.3390/jimaging8070181</p> <p><em>AMA Style</em></p> <p>Polevoy DV, Sigareva IV, Ershova DM, Arlazarov VV, Nikolaev DP, Ming Z, Luqman MM, Burie J-C. Document Liveness Challenge Dataset (DLC-2021). <em>Journal of Imaging</em>. 2022; 8(7):181. https://doi.org/10.3390/jimaging8070181</p> <p><em>Chicago/Turabian Style</em></p> <p>Polevoy, Dmitry V., Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad M. Luqman, and Jean-Christophe Burie. 2022. "Document Liveness Challenge Dataset (DLC-2021)" <em>Journal of Imaging</em> 8, no. 7: 181. https://doi.org/10.3390/jimaging8070181</p>
Document Liveness Challenge (DLC-2021) - part 2 (re)
<p>Dataset DLC-2021 consists of 1424 video clips captured in a wide range of real-world conditions and focused on ID document forensics tasks. Each clip was shot vertically and was at least 5 seconds long. Frames extracted at 10 frames per second and for the 50 first extracted frames document position is manually annotated.<br> The novelty of the dataset is that it contains shots from video with color laminated mock ID documents, color unlaminated copies, grayscale unlaminated copies, and screen recaptures of the documents. The proposed dataset complies with the GDPR because it contains images of synthetic IDs with generated owner photos and artificial personal information.</p> <p>Part 1 contains videos, frames and markup for “original” laminated documents from MIDV-2020 collection and unlaminated gray copies. <br> Part 2 contains videos, frames and markup for documents recaptured from device screen<br> Part 3 contains videos, frames and markup for unlaminated color copies.</p> <p><strong>Share and Cite</strong></p> <p><em>MDPI and ACS Style</em></p> <p>Polevoy, D.V.; Sigareva, I.V.; Ershova, D.M.; Arlazarov, V.V.; Nikolaev, D.P.; Ming, Z.; Luqman, M.M.; Burie, J.-C. Document Liveness Challenge Dataset (DLC-2021). <em>J. Imaging</em> <strong>2022</strong>, <em>8</em>, 181. https://doi.org/10.3390/jimaging8070181</p> <p><em>AMA Style</em></p> <p>Polevoy DV, Sigareva IV, Ershova DM, Arlazarov VV, Nikolaev DP, Ming Z, Luqman MM, Burie J-C. Document Liveness Challenge Dataset (DLC-2021). <em>Journal of Imaging</em>. 2022; 8(7):181. https://doi.org/10.3390/jimaging8070181</p> <p><em>Chicago/Turabian Style</em></p> <p>Polevoy, Dmitry V., Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad M. Luqman, and Jean-Christophe Burie. 2022. "Document Liveness Challenge Dataset (DLC-2021)" <em>Journal of Imaging</em> 8, no. 7: 181. https://doi.org/10.3390/jimaging8070181</p>
DLC MASTER CIENCIA DE DATOS
<p>Datasets practica 5 DLC</p>
DLC networks from: Application of a novel deep learning based 3D videography workflow to bat flight data
<p>Studying the detailed biomechanics of flying animals relies on producing accurate three-dimensional coordinates for key anatomical landmarks. Traditionally, this is achieved through manual digitization of animal videos, a labor-intensive task that grows more so with increasing frame rates and numbers of cameras. In this study, we present a workflow that combines deep learning-powered automatic digitization with intelligent filtering and correction of mislabeled points using 3D information. We tested our workflow using a particularly challenging scenario – bat flight. First, we documented bats flying steadily in a wind tunnel. We compared the results from manually digitizing bats with markers applied to anatomical landmarks against using our automatic workflow on the same bats without markers. In our second test case, we compared manual digitization against our automated workflow for bats exhibiting complex maneuvers in a large flight arena. We found that the variation between the 3D coordinates from our workflow and those from manual digitization was less than a millimeter larger than the variation between 3D coordinates resulting from two different human digitizers. The reduced reliance on manual digitization stemming from this work has the potential to significantly increase the scalability of studies into the detailed biomechanics of animal flight.</p>
DLC networks from: Application of a novel deep learning based 3D videography workflow to bat flight data
Open the record for dataset details and reuse information.
DLC
<p>Dataset</p>
dlc
<p>Datasets Practica 5</p>
Instrumented indentation test on DLC
<p>Representative instrumented indentation data measured on DLC topcoat applied to prototypes in the ALCOM PoC Project (20 mN) </p>
Amphioxus larval behavior (DLC dataset)
<p>Amphioxus larval behavior (DLC dataset)</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.