Dataset Versions

v2

2023-04-25 3:18pm

Generated on Apr 25, 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 88%
207Images
Valid Set 8%
20Images
Test Set 4%
9Images

Preprocessing

Static Crop: 30-76% Horizontal Region, 24-76% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±3° Horizontal, ±3° Vertical
Hue: Between -6° and +6°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 0.75px

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