---
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: filename
    dtype: string
  - name: image
    dtype: image
  - name: height
    dtype: int32
  - name: width
    dtype: int32
  - name: objects
    sequence:
    - name: id
      dtype: int64
    - name: category
      dtype:
        class_label:
          names:
            '0': traffic sign
            '1': motorcycle
            '2': car
            '3': rider
            '4': person
            '5': truck
            '6': autorickshaw
            '7': vehicle fallback
            '8': bus
    - name: bbox
      sequence: float32
      length: 4
    - name: area
      dtype: float32
  splits:
  - name: train
    num_bytes: 16537488347.988
    num_examples: 31124
  - name: validation
    num_bytes: 5109718001.124417
    num_examples: 10171
  download_size: 21636854209
  dataset_size: 21647206349.11242
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
task_categories:
- object-detection
size_categories:
- 10K<n<100K
---
The IDD Object Detection dataset containing 40K images with CPPE-5 like (or YOLO) dataset annotation format.\
Refer to the original dataset: https://idd.insaan.iiit.ac.in