Dataset Versions

v2

2022-08-03 11:59pm

Generated on Aug 3, 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 87%
900Images
Valid Set 8%
84Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 8 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Mosaic: Applied

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