Dataset Versions

v17

2024-10-12 3:28pm

Generated on Oct 12, 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
Choose another format.

Dataset Split

Train Set 81%
4731Images
Valid Set 12%
730Images
Test Set 7%
384Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
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%