Dataset Versions

v2

2023-04-12 2:19pm

Generated on Apr 12, 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 88%
2100Images
Valid Set 8%
200Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1204
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied