README.md

metadata

pretty_name: LM2rulers38squarified
task_categories:
  - image-classification
  - feature-extraction
language:
  - und
size_categories:
  - 10K<n<100K
license: cc-by-4.0
tags:
  - biology

LM2rulers38squarified

Squarified (720 px) variant of LM2rulers38. Images are organized by ruler_class and split into train / val / test.

Structure

This repository uses the imagefolder format:

LM2rulers38squarified/
└─ train/
    └─ <ruler_class>/*.jpg

└─ val/
    └─ <ruler_class>/*.jpg

└─ test/
    └─ <ruler_class>/*.jpg

• Classes with fewer than 10 images were skipped.
• For all included classes, an 80/10/10 split is created with at least 1 image per split per class (deterministic shuffling).

Stats

• Classes included: 20
• Images: train 8,478, val 1,052, test 1,077 (total 10,607)

Loading

from datasets import load_dataset

ds = load_dataset("phyloforfun/LM2rulers38squarified")
print(ds)