Datasets:

surenreddy
/

object365

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

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