Dataset Versions

v8

2024-10-09 5:52pm

Generated on Oct 9, 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 89%
3993Images
Valid Set 8%
352Images
Test Set 4%
165Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 20% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 23% of images
Blur: Up to 2.5px
Noise: Up to 1.76% of pixels

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