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