Dataset Versions

v5

2023-12-15 2:47pm

Generated on Dec 15, 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 96%
3946Images
Valid Set 2%
78Images
Test Set 2%
74Images

Preprocessing

Auto-Orient: Applied
Static Crop: 22-77% Horizontal Region, 37-86% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±29° Horizontal, ±11° Vertical
Exposure: Between -10% and +10%

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