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Thermal/Visual Super-Resolution Dataset

<p>A FLIR-E60 camera with multimodal sensors (thermal and color) is used. The thermal images are of size&nbsp;(320 x 240) pixel resolution with 0.05C thermal sensitivity and -20C to 650C .&nbsp;The paired color images are&nbsp;are of size&nbsp;(320 x 240) and&nbsp;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.&nbsp;</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.&nbsp;</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

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