Dataset Versions

v1

2024-07-12 9:19am

Generated on Jul 12, 2024

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%
450Images
Valid Set 8%
40Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 3px
Noise: Up to 1.01% of pixels

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