Dataset Versions

v1

2023-03-17 3:16am

Generated on Mar 17, 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 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±16° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -35% and +35%
Brightness: Between -30% and +30%
Bounding Box: Flip: Horizontal

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