Dataset Versions

v3

2024-11-20 9:48am

Generated on Nov 20, 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 90%
512Images
Valid Set 8%
47Images
Test Set 2%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 5% of images
Hue: Between -12° and +12°
Brightness: Between 0% and +15%