Dataset Versions

v1

2024-12-31 1:59pm

Generated on Dec 31, 2024

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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 100%
69Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 0-96% Horizontal Region, 28-96% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -34° and +34°
Exposure: Between -21% and +21%
Cutout: 11 boxes with 10% size each
Bounding Box: Rotation: Between -15° and +15°

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