Dataset Versions

v1

2023-09-30 4:56am

Generated on Sep 29, 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.
Other Formats
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Dataset Split

Train Set 85%
241Images
Valid Set 15%
43Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-77% Horizontal Region, 0-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±23° Horizontal, ±24° Vertical
Hue: Between -34° and +34°
Saturation: Between -29% and +29%
Brightness: Between -22% and +22%
Blur: Up to 1px
Bounding Box: Flip: Vertical

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