Dataset Versions

v4

2023-07-11 5:21pm

Generated on Jul 11, 2023

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 94%
1032Images
Valid Set 4%
47Images
Test Set 2%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 65% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -50% and +50%
Brightness: Between -49% and +49%
Noise: Up to 5% of pixels
Bounding Box: Exposure: Between -20% and +20%

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