Dataset Versions

v1

2024-11-29 6:04pm

Generated on Nov 29, 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 100%
1494Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 24% of images
Saturation: Between -33% and +33%
Blur: Up to 4.3px
Noise: Up to 1.96% of pixels
Bounding Box: Brightness: Between -44% and +44%
Bounding Box: Blur: Up to 4.3px

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