Dataset Versions

v15

2024-10-25 3:39pm

Generated on Oct 25, 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 90%
756Images
Valid Set 7%
59Images
Test Set 3%
29Images

Preprocessing

Auto-Orient: Applied
Static Crop: 23-87% Horizontal Region, 47-100% Vertical Region
Resize: Fill (with center crop) in 640x256

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 1.2px
Noise: Up to 1.01% of pixels

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