Dataset Versions

v2

2022-04-04 9:11pm

Generated on Apr 4, 2022

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 78%
18Images
Valid Set 22%
5Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x818

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 72% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -49% and +49%
Brightness: Between -16% and +16%
Exposure: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 2% of pixels
Mosaic: Applied

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