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chanelcolgate
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yenthienviet

Tasks:
Object Detection
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metadata
pretty_name: YENTHIENVIET
dataset_info:
  features:
    - name: image_id
      dtype: int64
    - name: image
      dtype: image
    - name: width
      dtype: int32
    - name: height
      dtype: int32
    - name: objects
      sequence:
        - name: id
          dtype: int64
        - name: area
          dtype: int64
        - name: bbox
          sequence: float32
          length: 4
        - name: category
          dtype:
            class_label:
              names:
                '0': hop_dln
                '1': hop_jn
                '2': hop_vtg
                '3': hop_ytv
                '4': lo_kids
                '5': lo_ytv
                '6': loc_dln
                '7': loc_jn
                '8': loc_kids
                '9': loc_ytv
  splits:
    - name: train
      num_bytes: 649109264
      num_examples: 1755
    - name: test
      num_bytes: 51031547
      num_examples: 152
    - name: val
      num_bytes: 53894489
      num_examples: 159
  download_size: 727024589
  dataset_size: 754035300
task_categories:
  - object-detection

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