Dataset Versions

v12

2024-07-21 1:21pm

Generated on Jul 21, 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%
2124Images
Valid Set 6%
134Images
Test Set 2%
44Images

Preprocessing

Resize: Stretch to 800x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±11° Horizontal, ±13° Vertical
Saturation: Between -28% and +28%
Brightness: Between -24% and +24%
Blur: Up to 1.8px

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