README.md

---
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
---

[![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)

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

# 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](https://www.robots.ox.ac.uk/~vgg/data/pets/).
+ `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.:
```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 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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