Dataset Versions

v1

2023-12-27 11:34pm

Generated on Dec 28, 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 87%
1962Images
Valid Set 10%
216Images
Test Set 3%
68Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 49% Maximum Zoom
Hue: Between -62° and +62°
Saturation: Between -42% and +42%
Brightness: Between -36% and +36%
Noise: Up to 1% of pixels
Cutout: 5 boxes with 2% size each

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