Dataset Versions

v4

2023-12-01 9:44pm

Generated on Dec 1, 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 94%
10539Images
Valid Set %
0Images
Test Set 6%
712Images

Preprocessing

Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 2 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%

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