Dataset Versions

v12

Augmented Dataset

Generated on Feb 11, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 68%
3852Images
Valid Set 19%
1100Images
Test Set 13%
732Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1024x1024
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 1 dropped

Augmentations

Outputs per training example: 1
90° Rotate: Clockwise, Counter-Clockwise, Upside Down