Dataset Versions

v1

2023-06-13 11:42pm

Generated on Jun 13, 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 90%
1158Images
Valid Set 6%
77Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 10% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 25% of images
Brightness: Between -41% and +41%
Blur: Up to 2.5px
Noise: Up to 9% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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