Dataset Versions

v27

truckOnly

Generated on Jun 8, 2024

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%
4809Images
Valid Set 5%
280Images
Test Set 3%
164Images

Preprocessing

Resize: Fit (white edges) in 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 30% of images
Saturation: Between -15% and +15%
Brightness: Between -12% and +12%
Blur: Up to 1px
Noise: Up to 1.01% of pixels

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