Dataset Versions

v1

2023-04-12 4:02am

Generated on Apr 12, 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 91%
687Images
Valid Set 6%
48Images
Test Set 2%
17Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Brightness: Between -30% and +30%
Exposure: Between -23% and +23%
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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