Dataset Versions

v2

2023-10-31 5:25pm

Generated on Oct 31, 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%
729Images
Valid Set 8%
69Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Static Crop: 29-75% Horizontal Region, 33-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Exposure: Between -25% and +25%
Blur: Up to 2px

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