README.md

---
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: label_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: 149043965.64
    num_examples: 3680
  - name: test
    num_bytes: 133273793.037
    num_examples: 3669
  download_size: 281624839
  dataset_size: 282317758.677
---

[![Visualize Dataset on Visual Layer](https://img.shields.io/badge/Visualize%20on-%20Visual%20Layer-purple?style=for-the-badge&logo=numpy)](https://app.visual-layer.com/dataset/3972b3fc-1809-11ef-bb76-064432e0d220/data?p=1&page=1)

# Oxford-IIIT-Pets-VL-Enriched

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

## Description
The dataset consists of 6 columns:

+ `image_id`: Unique identifier for each image. `image_id` is the original filename of the image from Oxford IIIT Pets 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.

## Usage
This dataset can be used with the Hugging Face Datasets library.:
```python
import datasets
ds = datasets.load_dataset("visual-layer/oxford-iiit-pet-vl-enriched")
```

More in this [notebook](usage.ipynb).

## Interactive Visualization
Visual Layer provides a platform to interactively visualize the dataset.
Check it out [here](https://app.visual-layer.com/dataset/3972b3fc-1809-11ef-bb76-064432e0d220/data?p=1&page=1). No sign-up required.

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/_RZTBZ6zNGz8f7g0sxow4.mp4"></video>

<div style="text-align: center;">
  <a href="https://app.visual-layer.com/dataset/3972b3fc-1809-11ef-bb76-064432e0d220/data?p=1&page=1">
    <img src="https://img.shields.io/badge/Visualize%20on-%20Visual%20Layer-purple?style=for-the-badge&logo=numpy" alt="Visualize Dataset on Visual Layer">
  </a>
</div>

## License & Disclaimer

We provide no warranty of 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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