Dataset Versions

v7

2021-11-20 6:37am

Generated on Nov 20, 2021

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 82%
702Images
Valid Set 12%
100Images
Test Set 6%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Grayscale: Apply to 50% of images
Hue: Between -132° and +132°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels