README.md

metadata

license: cc-by-sa-4.0
dataset_info:
  features:
    - name: path
      dtype: string
    - name: label
      dtype: string
    - name: dog
      dtype: bool
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 231255601.70054126
      num_examples: 7281
  download_size: 230967271
  dataset_size: 231255601.70054126
task_categories:
  - image-classification

Description

The vl-oxford-iiit-pets dataset by Visual Layer is a sanitized version of the original Oxford IIIT Pet dataset. This dataset comprises 37 categories of pet images, with approximately 200 images per class with variations in scale, pose, and lighting.

The following are issues found in the original dataset and removed in this dataset:

Category	Percentage	Count
Duplicates	1.016%	75
Outliers	0.1%	7
Dark	0.05%	4
Leakage	0.31%	23
Total	1.48%	132

Learn more - https://docs.visual-layer.com/docs/available-datasets#vl-oxford-iiit-pets

About Visual-Layer

Visual Layer is founded by the authors of XGBoost, Apache TVM & Turi Create - Danny Bickson, Carlos Guestrin and Amir Alush.

Learn more about Visual Layer here.