Dataset Versions

v17

2023-10-17 6:00pm

Generated on Oct 17, 2023

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 72%
900Images
Valid Set 26%
322Images
Test Set 2%
20Images

Preprocessing

Resize: Stretch to 608x608
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Bounding Box: Brightness: Between -7% and +7%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 1% of pixels

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