Thermal/Visual Super-Resolution Dataset
<p>A FLIR-E60 camera with multimodal sensors (thermal and color) is used. The thermal images are of size (320 x 240) pixel resolution with 0.05C thermal sensitivity and -20C to 650C . The paired color images are are of size (320 x 240) and aligned with the same geometric information and the same field of view. Thermal images were extracted in their raw format and logged in 16-bit float per-pixel in one channel. </p> <p>The acquisition was made in different scenes and different environments (indoor and outdoor, during winter and summer and with static and moving objects). Thermal and visual images are with a total of 570 pairs. The framework is divided into 512 training and validation samples and 58 test. </p>
ShareScore
12/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0