Dataset Versions

v12

2024-12-02 3:39pm

Generated on Dec 2, 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%
13791Images
Valid Set 7%
1033Images
Test Set 3%
428Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -10% and +10%