Dataset Versions

v8

2023-05-15 10:29am

Generated on May 15, 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 88%
4227Images
Valid Set 8%
398Images
Test Set 4%
204Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 18% Minimum Zoom, 40% Maximum Zoom
Saturation: Between -21% and +21%
Brightness: Between -50% and +50%
Exposure: Between -22% and +22%
Blur: Up to 1px
Noise: Up to 12% of pixels
Mosaic: Applied

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