Dataset Versions

v7

raghad-v4

Generated on Nov 16, 2021

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 91%
1719Images
Valid Set 6%
120Images
Test Set 3%
59Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 500x500
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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