Dataset Versions

v1

2023-05-01 7:00pm

Generated on May 1, 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.
Other Formats
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Dataset Split

Train Set 78%
1080Images
Valid Set 17%
236Images
Test Set 5%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 256x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px

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