---
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`