Dataset Versions

v6

2024-05-11 10:34pm

Generated on May 11, 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 82%
5265Images
Valid Set 9%
607Images
Test Set 9%
566Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 19-81% Horizontal Region, 12-86% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Rotation: Between -15° and +15°