Dataset Versions

v4

2024-06-12 8:10pm

Generated on Jun 12, 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%
141Images
Valid Set 5%
8Images
Test Set 3%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Saturation: Between -47% and +47%
Blur: Up to 2.5px
Noise: Up to 0.77% of pixels
Cutout: 24 boxes with 6% size each

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