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8 results for “kitti”

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zenodo48/100

OpenLABEL-enriched KITTI Tracking scenarios

<p>In HEADSTART T3.4 task, a conversion from the KITTI format into the ASAM OpenLABEL standard was performed.</p> <p>Additionally, several objects, actions, events, contexts and relations were added to the original annotations, creating richer descriptions of the scenes.</p> <p>The OpenLABEL JSON files were created and used in HEADSTART T3.4 to validate the concept of scenario mining from real data.</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

EMS3D-KITTI-Synthetic: A Synthetic 3D Dataset in KITTI Format with Balanced EMS Vehicle Distribution for Autonomous Driving AI Model Training

<p>A 3D synthetic dataset in KITTI format, focused on emergency vehicles such as ambulances and police cars. The dataset was generated across 8 towns within the CARLA simulator and converted into the KITTI format, ensuring compatibility for direct use in AI model training for autonomous driving applications.</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

KITTI 3D Object Detection

<p>The dataset downloaded from official KITTI website&nbsp;was used in&nbsp;eGAC3D&#39;s evaluation.&nbsp;This&nbsp;dataset includes raw images (data_object_label_2.zip)&nbsp;and corresponding ground-truth (data_object_image_2.zip).&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo28/100

KITTI-Masks

<p><strong>KITTI Masks Dataset</strong></p> <p>This Dataset consists of 2120 sequences of binary masks of&nbsp;pedestrians. The sequence length varies between 2-710. For details, we refer to our paper. It is based on the original KITTI Segmentation challenge which can be found at&nbsp;https://www.vision.rwth-aachen.de/page/mots&nbsp;</p> <p>&nbsp;</p> <p>A detailed description can be found at:&nbsp;https://openreview.net/pdf?id=EbIDjBynYJ8</p> <p>An example dataloader can be found at:&nbsp;https://github.com/bethgelab/slow_disentanglement/blob/26eef4557ad25f1991b6f5dc774e37e192bdcabf/scripts/dataset.py#L875&nbsp;</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

KITTI

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2024View details →
zenodo28/100

Kitti''s Hog-nosed Bat in Craseonycteridae

Kitti''s Hog-nosed Bat

opennotspecifiedOct 2019View details →
zenodo24/100

Kitty Wilkinson

Catherine Wilkinson (1786–1860) was an Irish migrant, "wife of a labourer", who became known as the Saint of the Slums. In 1832, during a cholera epidemic, she had the only boiler in her neighbourhood, so she invited those with infected clothes or linens to use it, thus saving many lives. This was the first public washhouse in Liverpool. Ten years later with public funds her efforts resulted in the opening of a combined washhouse and public baths, the first in the United Kingdom Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2019View details →
zenodo20/100

Annotated Vehicle Dataset for BBSL Specification-based Testing in Autonomous Driving Systems (Modified from KITTI)

<p>This dataset consists of four ZIP files containing annotated images used for experiments in the research of formal specification and specification-based testing for image recognition in autonomous driving systems. The dataset has been derived and modified from the KITTI dataset.</p> <ul> <li> <p><strong>image1.zip</strong>: Contains 349 images. These images are part of the first subset used in the experiments.</p> </li> <li> <p><strong>label1.zip</strong>: Contains the 2D bounding box annotations for vehicles corresponding to the images in <strong>image1.zip</strong>. There are 349 annotation files, and in total, 2,736 vehicles are annotated.</p> </li> <li> <p><strong>image2.zip</strong>: Contains 1,300 images. These images are part of the second subset used in the experiments.</p> </li> <li> <p><strong>label2.zip</strong>: Contains the 2D bounding box annotations for vehicles corresponding to the images in <strong>image2.zip</strong>. There are 1,300 annotation files, and in total, 5,644 vehicles are annotated.</p> </li> </ul> <p>The dataset was utilized in the research project focused on Bounding Box Specification Language (BBSL), a formal specification language designed for image recognition in autonomous driving systems. This research explores specification-based testing methodologies for object detection systems.</p> <p>The BBSL project and related testing tools can be accessed on GitHub: <a href="https://github.com/IOKENTOI/BBSL-test" target="_new" rel="noopener">https://github.com/IOKENTOI/BBSL-test</a>.</p> <p>The original KITTI dataset used for modification can be found at <a href="https://www.cvlibs.net/datasets/kitti/index.php">[KITTI dataset source link]</a>.<br>If you use this dataset, please cite the original KITTI dataset:<br>@inproceedings{Geiger2012CVPR,<br>&nbsp; author = {Andreas Geiger and Philip Lenz and Raquel Urtasun},<br>&nbsp; title = {Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite},<br>&nbsp; booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)},<br>&nbsp; year = {2012}<br>}</p>

openOct 2024View details →

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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.

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OpenNeuro

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