Datasets:
File size: 1,057 Bytes
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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`
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