Datasets:
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-*.parquet | |
| - split: val | |
| path: data/val-*.parquet | |
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: id | |
| dtype: int32 | |
| - name: width | |
| dtype: int32 | |
| - name: height | |
| dtype: int32 | |
| - name: annotations | |
| dtype: string | |
| license: cc-by-4.0 | |
| task_categories: | |
| - object-detection | |
| tags: | |
| - object365 | |
| - detection | |
| - coco-format | |
| # Objects365 Dataset | |
| Objects365 detection dataset in HuggingFace parquet format. | |
| ## Schema | |
| | Column | Type | Description | | |
| |--------|------|-------------| | |
| | image | Image | RGB image (PIL) | | |
| | id | int32 | Image ID matching COCO annotation | | |
| | width | int32 | Image width | | |
| | height | int32 | Image height | | |
| | annotations | string | JSON-serialized annotations list | | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("surenreddy/object365", split="train") | |
| ``` | |
| Annotations are available as COCO-format JSON files in the repo root: | |
| - `zhiyuan_objv2_train.json` | |
| - `zhiyuan_objv2_val.json` | |