Dataset Versions

v15

V15- v12 w 6 classes

Generated on Aug 8, 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 93%
2100Images
Valid Set 4%
100Images
Test Set 2%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x480
Modify Classes: 12 remapped, 0 dropped
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 6
Rotation: Between -20° and +20°
Grayscale: Apply to 10% of images
Saturation: Between -40% and +40%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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