Dataset Versions

v14

2024-09-03 1:08am

Generated on Sep 3, 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 88%
1494Images
Valid Set 8%
139Images
Test Set 4%
68Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Noise: Up to 10% of pixels
Cutout: 25 boxes with 5% size each
Bounding Box: Blur: Up to 8px
Bounding Box: Noise: Up to 8.02% of pixels

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