Dataset Versions

v2

2024-09-08 6:05am

Generated on Sep 8, 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.
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Dataset Split

Train Set 92%
954Images
Valid Set 5%
52Images
Test Set 3%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -12° and +12°
Saturation: Between -16% and +16%
Brightness: Between -24% and +24%
Exposure: Between -8% and +8%
Noise: Up to 1.13% of pixels
Bounding Box: Flip: Horizontal

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