Dataset Versions

v5

2023-10-19 1:12pm

Generated on Oct 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%
8307Images
Valid Set 7%
616Images
Test Set 4%
335Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Modify Classes: 13 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -37° and +37°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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