Datasets › CAMO-FS
CAMO-FS
CAMO-FS Dataset comes with the paper entitled The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation.
DOI: https://doi.org/10.1109/ACCESS.2024.3432873
Official GitHub: https://github.com/danhntd/FS-CDIS
The dataset includes camouflaged images and the annotations under COCO JSON format.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Few-Shot Object Detection | CAMO-FS | FS-CDIS (MTFA+IMS 5-shot) box AP 10.36 | The Art of Camouflage: Few-Shot Learning for Animal... | danhntd/FS-CDIS | 26 | Compare |
| Few-shot Instance Segmentation | CAMO-FS | FS-CDIS (M-RCNN+IMS 5-shot) mask AP 9.82 | The Art of Camouflage: Few-Shot Learning for Animal... | danhntd/FS-CDIS | 15 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation | 1 | 41 | 15 Apr 2023 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Apache-2.0 license
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- CAMO-FS
1 variant name, as the archive lists them.
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