Dataset Versions

v1

2023-06-17 2-36am

Generated on Jun 16, 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%
4164Images
Valid Set 8%
396Images
Test Set 4%
197Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 27-72% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Exposure: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 5% of pixels