Dataset Versions

v6

2024-09-18 8:37pm

Generated on Sep 18, 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%
3701Images
Valid Set 8%
353Images
Test Set 4%
176Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-70% Horizontal Region, 21-58% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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