Dataset Versions

v1

2023-11-08 8:51pm

Generated on Nov 8, 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 82%
45Images
Valid Set 15%
8Images
Test Set 4%
2Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-87% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°

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