Dataset Versions

v3

2024-04-01 4:21pm

Generated on Apr 1, 2024

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 97%
25632Images
Valid Set 2%
640Images
Test Set 1%
240Images

Preprocessing

Auto-Orient: Applied
Static Crop: 26-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical