Dataset Versions

v7

2023-03-07 3:27pm

Generated on Mar 7, 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 89%
1200Images
Valid Set 7%
93Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 26-75% Horizontal Region, 26-67% Vertical Region

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -55% and +55%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%

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