Dataset Versions

v4

2022-03-16 2:34pm

Generated on Mar 16, 2022

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 70%
127Images
Valid Set 20%
36Images
Test Set 10%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 1
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Bounding Box: Noise: Up to 5% of pixels

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