Dataset Versions

v1

2022-01-04 4:42pm Etap 1

Generated on Jan 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.
Other Formats
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Dataset Split

Train Set 88%
2379Images
Valid Set 8%
226Images
Test Set 4%
113Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Grayscale: Apply to 42% of images
Hue: Between -11° and +11°
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -14% and +14%

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