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README.md

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+---
+license: other
+task_categories:
+  - image-segmentation
+tags:
+  - camouflaged-object-detection
+  - cod
+  - segmentation
+  - cod-tdq
+---
+
+# COD Dataset Bundle For COD-TDQ
+
+This repository hosts the camouflaged object detection dataset bundle used by:
+
+**When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization**
+
+## Layout
+
+```text
+Dataset/
+├── TrainValDataset/{Imgs,GT,Edge}
+└── TestDataset/
+    ├── CHAMELEON/{Imgs,GT,Edge}
+    ├── CAMO/{Imgs,GT,Edge}
+    ├── COD10K/{Imgs,GT,Edge}
+    └── NC4K/{Imgs,GT,Instance}
+```
+
+## Counts
+
+| Split / Dataset | Images |
+| --- | ---: |
+| TrainValDataset | 4040 |
+| CHAMELEON | 76 |
+| CAMO | 250 |
+| COD10K | 2026 |
+| NC4K | 4121 |
+
+## Usage
+
+Use this dataset with the official code:
+
+```bash
+git clone https://github.com/MCG-NKU/nku-model-compre.git
+cd nku-model-compre/cod-tdq
+```
+
+Expected local layout:
+
+```text
+assets/datasets/cod/
+├── TrainValDataset/{Imgs,GT,Edge}
+└── TestDataset/{CHAMELEON,CAMO,COD10K,NC4K}
+```
+
+If you download this repository directly, move or symlink `Dataset/TrainValDataset` and
+`Dataset/TestDataset` into `assets/datasets/cod/`.
+
+## Citation
+
+```bibtex
+@inproceedings{codtdq2026,
+  title={When W4A4 Breaks Camouflaged Object Detection: Token-Group Dual-Constraint Activation Quantization},
+  author={Coming Soon},
+  booktitle={ECCV},
+  year={2026}
+}
+```
+
+Please also cite the original datasets according to their respective licenses.
+
+## Integrity
+
+Checksums are provided in `SHA256SUMS`.