Dataset Versions

v6

2024-04-21 8:46pm

Generated on Apr 21, 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 100%
300Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -20° and +20°
Grayscale: Apply to 10% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1.93% of pixels
Cutout: 9 boxes with 10% size each
Mosaic: Applied

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