Dataset Versions

v1

2024-04-07 5:11pm

Generated on Apr 7, 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 87%
267Images
Valid Set 13%
40Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±2° Horizontal, ±3° Vertical
Hue: Between -1° and +1°
Saturation: Between -3% and +3%
Brightness: Between -3% and +3%
Exposure: Between -1% and +1%
Cutout: 3 boxes with 1% size each

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