Dataset Versions

v8

2024-04-17 10:30am

Generated on Apr 17, 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.
Other Formats
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Dataset Split

Train Set 77%
291Images
Valid Set 12%
45Images
Test Set 12%
44Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require at least 64% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 0.97% of pixels

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