Dataset Versions

v1

2022-07-10 5:42pm

Generated on Jul 10, 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.
Other Formats
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Dataset Split

Train Set 94%
2997Images
Valid Set 6%
199Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Hue: Between -6° and +6°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -4% and +4%
Blur: Up to 2.25px
Noise: Up to 3% of pixels
Mosaic: Applied