Dataset Versions

v8

2023-12-02 2:19pm

Generated on Dec 2, 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.
Other Formats
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Dataset Split

Train Set 87%
2694Images
Valid Set 9%
277Images
Test Set 4%
128Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1152x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 5% of pixels
Mosaic: Applied