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firstoff/animalmind-oxford-pet

AnimalMind — Oxford-IIIT Pet (Normalised) Baseline dataset for the AnimalMind project.Derived from pcuenq/oxford-pets (Oxford-IIIT Pet Dataset, Parkhi et al. 2012). What changed Original This version Single rain split 90/10 rain/ est split (seed=42) label as raw string reed normalised (underscores removed, title-case) dog bool field species string field: dog or cat Original image sizes All images resized to 224 x 224 RGB Multiple columns… See the full description on the dataset page: https://huggingface.co/datasets/firstoff/animalmind-oxford-pet.

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AnimalMind — Oxford-IIIT Pet (Normalised)

Baseline dataset for the AnimalMind project. Derived from pcuenq/oxford-pets (Oxford-IIIT Pet Dataset, Parkhi et al. 2012).

What changed

OriginalThis version
Single rain split90/10 rain/ est split (seed=42)
label as raw stringreed normalised (underscores removed, title-case)
dog bool fieldspecies string field: dog or cat
Original image sizesAll images resized to 224 x 224 RGB
Multiple columnsMinimal schema: image, species, reed, split, source

Schema

ColumnTypeDescription
imagePIL Image 224x224Pet photograph
speciesstringdog or cat
reedstringEnglish breed name
splitstringrain or est
sourcestringoxfordiiitpet

Statistics

  • —Total: 7 390 images
  • —Train: 6 651  |  Test: 739
  • —Breeds: 37 (12 cat breeds, 25 dog breeds)
  • —Species (train): ~2 153 cats / ~4 498 dogs

Purpose

This dataset serves as the Phase 1 validation baseline for AnimalMind. The goal is to validate the full ML pipeline (data → model → API) before moving to the proprietary AnimalMind dataset focused on behaviour and emotion.

Citation

@InProceedings{parkhi12a, author = {Parkhi, O. M. and Vedaldi, A. and Zisserman, A. and Jawahar, C.~V.}, title = {Cats and Dogs}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition}, year = {2012}, }