Dataset Versions

v13

2024-04-16 12:27pm

Generated on Apr 16, 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 85%
6280Images
Valid Set 11%
795Images
Test Set 4%
320Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -5% and +5%