Dataset Versions

v1

2022-11-22 9:19am

Generated on Nov 22, 2022

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%
663Images
Valid Set 8%
62Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 224x224
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 25% of images
Brightness: Between -15% and +15%

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