Dataset Versions

v2

2024-07-23 10:23am

Generated on Jul 23, 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 94%
2338Images
Valid Set 3%
72Images
Test Set 3%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1024x576
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 7
Flip: Horizontal
Crop: 0% Minimum Zoom, 14% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px