Dataset Versions

v9

2024-03-29 9:14pm

Generated on Mar 29, 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 95%
1866Images
Valid Set 3%
66Images
Test Set 2%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Blur: Up to 1.7px
Noise: Up to 0.66% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 6% Maximum Zoom

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