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---
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
Oxford IIIT Pets Dataset enriched with image and object annotations using foundation models.
Check out interactive visualization [here](https://app.visual-layer.com/vl-datasets).
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6195f404c07573b03c61702c/ik52fzk8FqeHNP2K2_ARM.mp4"></video>
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