Dataset Versions

v8

2023-06-24 10:19pm

Generated on Jun 24, 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 87%
1020Images
Valid Set 8%
97Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Static Crop: 66-95% Horizontal Region, 8-85% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Grayscale: Apply to 11% of images
Blur: Up to 0.25px
Bounding Box: Rotation: Between -3° and +3°
Bounding Box: Noise: Up to 3% of pixels

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