Dataset Versions

v1

2023-05-16 3:36pm

Generated on May 16, 2023

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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 94%
19224Images
Valid Set 5%
978Images
Test Set 2%
324Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-86% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 9 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -10° and +10°
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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