Dataset Versions

v1

2022-11-14 2:05pm

Generated on Nov 14, 2022

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 92%
6975Images
Valid Set %
0Images
Test Set 8%
579Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±30° Horizontal, ±15° Vertical
Saturation: Between -45% and +45%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%

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