Dataset Versions

v2

2024-11-15 3:23pm

Generated on Nov 15, 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.
Other Formats
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Dataset Split

Train Set 87%
12584Images
Valid Set 9%
1260Images
Test Set 4%
630Images

Preprocessing

Auto-Orient: Applied
Static Crop: 20-80% Horizontal Region, 20-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images

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