README.md

---
language:
- en
task_categories:
- image-classification
- object-detection
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: filename
    dtype: string
  - name: caption
    dtype: string
  - name: image_labels
    sequence: string
  - name: objects
    list:
    - name: bbox
      sequence: float64
    - name: confidence
      dtype: float64
    - name: label
      dtype: string
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 2222077366.625
    num_examples: 7275
  download_size: 2221294894
  dataset_size: 2222077366.625
---
# Oxford-IIIT-Pets-VL-Enriched

Oxford IIIT Pets Dataset enriched with image and object annotations using foundation models.

![fastdup](https://github.com/visual-layer/fastdup/raw/main/gallery/fastdup_install.gif)

Check out interactive visualization [here](https://app.visual-layer.com/vl-datasets).