Dataset Versions

v20

2024-10-23 1:42pm

Generated on Oct 23, 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 81%
5486Images
Valid Set 12%
837Images
Test Set 6%
436Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1200x720
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal
Saturation: Between -15% and +15%
Brightness: Between 0% and +18%
Exposure: Between -3% and +3%