Dataset Versions

v3

2022-01-19 5:48pm

Generated on Jan 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.
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Dataset Split

Train Set 88%
534Images
Valid Set 8%
50Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 29-85% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images

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