metadata

language:
  - en
task_categories:
  - image-classification
  - object-detection
  - visual-question-answering
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: caption_enriched
      dtype: string
    - name: label_bbox_enriched
      list:
        - name: bbox
          sequence: int64
        - name: label
          dtype: string
    - name: issues
      list:
        - name: confidence
          dtype: float64
        - name: description
          dtype: 'null'
        - name: issue_type
          dtype: string
  splits:
    - name: train
      num_bytes: 148786604
      num_examples: 3680
    - name: test
      num_bytes: 133006684.375
      num_examples: 3669
  download_size: 281256366
  dataset_size: 281793288.375

Oxford-IIIT-Pets-VL-Enriched

An enriched version of the Oxford IIIT Pets Dataset with image caption, bounding boxes, and label issues! With this additional information, the Oxford IIIT Pet dataset can be extended to various tasks such as image retrieval or visual question answering.

The label issues help to curate a cleaner and leaner dataset.

Description

The dataset consists of 6 columns:

image_id: Unique identifier for each image. image_id is the original filename of the image from the Oxford IIIT Pet dataset.
image: Image data in the form of PIL Image.
label_cat_dog: Label for the image, whether it is a cat or a dog. Provided by the authors of the original dataset.
label_breed: Label for the breed of the cat or dog in the image. Consists of 37 pet breeds of cats and dogs. Provided by the authors of the original dataset.
label_bbox_enriched: Enriched labels for the image. Consists of bounding box coordinates, confidence score, and label for the bounding box. Generated by in-house and customized YOLOv8 model.
caption_enriched: Enriched captions for the image. Generated by BLIP2 captioning model.
issues: Quality issues found such as duplicate, mislabeled, dark, blurry, bright, and outlier image.

Usage

This dataset can be used with the Hugging Face Datasets library.:

import datasets
ds = datasets.load_dataset("visual-layer/oxford-iiit-pet-vl-enriched")

Interactive Visualization

Visual Layer provides a platform to interactively visualize the dataset. Check it out here. No sign-up required.

License & Disclaimer

We provide no warranty on the dataset, and the user takes full responsibility for the usage of the dataset. By using the dataset, you agree to the terms of the Oxford IIIT Pets dataset license.

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