Dataset Versions

v1

first_try

Generated on Jul 19, 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 82%
2778Images
Valid Set 9%
307Images
Test Set 9%
310Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -35% and +35%
Blur: Up to 2px
Noise: Up to 1% of pixels