Adverse condition Object Detection with RAW images
We introduce the AODRaw dataset, which offers 7,785 high-resolution real RAW images with 135,601 annotated instances spanning 62 categories, capturing a broad range of indoor and outdoor scenes under 9 distinct light and weather conditions. AODRaw supports RAW and sRGB object detection.
Variants: AODRaw
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Object Detection | Cascade RCNN (ConvNext-T, RAW pre-training) | Towards RAW Object Detection in … | 2024-11-24 |
Recent papers with results on this dataset: