Dataset Versions

v17

2023-10-25 4:31pm

Generated on Oct 25, 2023

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 46%
16674Images
Valid Set 2%
683Images
Test Set 2%
625Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px