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Datasets:
visual-layer
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oxford-iiit-pet-vl-enriched

Tasks:
Image Classification
Object Detection
Visual Question Answering
Modalities:
Image
Text
Formats:
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Languages:
English
Size:
1K - 10K
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metadata
language:
  - en
task_categories:
  - image-classification
  - object-detection
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: image_id
      dtype: string
    - name: image
      dtype: image
    - name: label_cat_dog
      dtype: string
    - name: label_breed
      dtype: string
    - name: labels_bbox_enriched
      list:
        - name: bbox
          sequence: float64
        - name: confidence
          dtype: float64
        - name: label
          dtype: string
    - name: caption_enriched
      dtype: string
  splits:
    - name: train
      num_bytes: 378675372.2
      num_examples: 3680
    - name: test
      num_bytes: 413574140.357
      num_examples: 3669
  download_size: 790823630
  dataset_size: 792249512.5569999

Oxford-IIIT-Pets-VL-Enriched

An enriched version of the Oxford IIIT Pets Dataset.

Enrichment

In addition to the image level labels from the original dataset, we added:

  • Image Captions - Generated by BLIP2 captioning model.
  • Bounding Boxes - Generated by in-house and customized YOLOv8 model.

With more information, the dataset can be used for a variety of tasks such as image retrieval or visual question answering.

Check out interactive visualization here.