ebowwa/

usd-side-coco-annotations

A refined COCO-format dataset for detecting US Dollar currency and classifying whether the front or back side is visible.

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.