Dataset Versions

v5

2023-01-30 4:05pm

Generated on Jan 30, 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 86%
1932Images
Valid Set 8%
181Images
Test Set 6%
130Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±17° Horizontal, ±15° Vertical
Saturation: Between -46% and +46%
Noise: Up to 14% of pixels