Dataset Versions

v2

First Model

Generated on Nov 10, 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.
Other Formats
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Dataset Split

Train Set 92%
432Images
Valid Set 6%
27Images
Test Set 2%
9Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -30% and +30%
Mosaic: Applied
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 6px
Bounding Box: Noise: Up to 5% of pixels

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