Dataset Versions

v3

160x160 yolov5n

Generated on Jun 27, 2024

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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%
459Images
Valid Set 8%
40Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 160x160
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Grayscale: Apply to 18% of images
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels
Cutout: 5 boxes with 6% size each

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