Dataset Versions

v4

2024-12-15 2:20pm

Generated on Dec 15, 2024

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 90%
5694Images
Valid Set 6%
380Images
Test Set 4%
253Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±14° Horizontal, ±14° Vertical
Hue: Between -24° and +24°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.8% of pixels

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