Dataset Versions

v4

2022-08-17 10:55am

Generated on Aug 17, 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 92%
750Images
Valid Set 7%
60Images
Test Set 1%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x480
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels

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