Dataset Versions

v3

2024-06-26 8:08am

Generated on Jun 26, 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 87%
162Images
Valid Set 8%
15Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Static Crop: 36-62% Horizontal Region, 25-57% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -23° and +23°
Brightness: Between -36% and +36%

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