Dataset Versions

v2

2023-12-11 4:15pm

Generated on Dec 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.
Other Formats
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Dataset Split

Train Set 90%
255Images
Valid Set 6%
18Images
Test Set 3%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 920x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±26° Horizontal, ±9° Vertical
Blur: Up to 2.75px
Cutout: 5 boxes with 22% size each
Bounding Box: Crop: 0% Minimum Zoom, 40% Maximum Zoom
Bounding Box: Rotation: Between -25° and +25°

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