Dataset Versions

v2

2022-11-06 1:59pm

Generated on Nov 6, 2022

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%
620Images
Valid Set 12%
88Images
Test Set 6%
45Images

Preprocessing

Auto-Orient: Applied
Static Crop: 33-88% Horizontal Region, 15-92% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°

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