Dataset Versions

v3

2023-09-19 2:50pm

Generated on Sep 19, 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 90%
297Images
Valid Set 4%
12Images
Test Set 7%
22Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 31-71% Horizontal Region, 28-69% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px

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