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