Dataset Versions

v2

2022-09-14 6:46pm

Generated on Sep 14, 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 88%
1326Images
Valid Set 12%
182Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -17° and +17°
Shear: ±11° Horizontal, ±17° Vertical
Grayscale: Apply to 25% of images
Hue: Between -63° and +63°
Saturation: Between -16% and +16%
Noise: Up to 11% of pixels

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