Dataset Versions

v7

2023-07-23 9:20pm

Generated on Jul 23, 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 92%
660Images
Valid Set 1%
4Images
Test Set 7%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -11° and +11°
Shear: ±11° Horizontal, ±11° Vertical
Grayscale: Apply to 27% of images
Hue: Between -33° and +33°
Saturation: Between -33% and +33%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels
Mosaic: Applied

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