Dataset Versions

v2

2023-10-10 10:52am

Generated on Oct 10, 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 87%
2727Images
Valid Set 8%
262Images
Test Set 4%
130Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 44% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 5% of pixels