Dataset Versions

v2

2023-07-11 9:33am

Generated on Jul 11, 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%
8949Images
Valid Set 9%
877Images
Test Set 3%
280Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Exposure: Between -25% and +25%

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