Dataset Versions

v5

ver5

Generated on Jul 28, 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 95%
2304Images
Valid Set 3%
76Images
Test Set 1%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 9 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -14° and +14°
Bounding Box: Exposure: Between -25% and +25%

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