Dataset Versions

v15

Augmented-v2 0.58

Generated on Dec 28, 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 68%
2549Images
Valid Set 19%
695Images
Test Set 13%
485Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Grayscale: Apply to 10% of images
Saturation: Between -15% and +15%
Exposure: Between -20% and +20%
Blur: Up to 0.5px

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