Dataset Versions

v1

V1

Generated on Aug 11, 2021

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 85%
6843Images
Valid Set 12%
937Images
Test Set 4%
295Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -30° and +30°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels

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