ebowwa/usd-side-coco-annotations

USD Side Detection Dataset (Front/Back) A refined COCO-format dataset for detecting US Dollar currency and classifying whether the front or back side is visible. Dataset Summary Total Images: 3,618 Total Annotations: 3,746 Format: COCO + HuggingFace JSONL Classes: 24 (denominations × front/back × authentic/counterfeit) Classification Accuracy: 100% (all Front/Back classified) Split Images Annotations Train 2,671 2,738 Valid 597 627 Test 350 381… See the full description on the dataset page: https://huggingface.co/datasets/ebowwa/usd-side-coco-annotations.