Dataset Versions

v12

2022-10-27 9:33pm

Generated on Oct 27, 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
Choose another format.

Dataset Split

Train Set 89%
1410Images
Valid Set 5%
78Images
Test Set 6%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 30% Minimum Zoom, 42% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 3.5px

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