Dataset Versions

v3

2022-03-23 10:09pm

Generated on Mar 23, 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 85%
516Images
Valid Set 7%
44Images
Test Set 7%
45Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±20° Horizontal, ±11° Vertical
Grayscale: Apply to 6% of images
Hue: Between -9° and +9°
Saturation: Between -5% and +5%
Brightness: Between -7% and +7%
Exposure: Between -3% and +3%

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