Dataset Versions

v1

2024-08-28 12:55pm

Generated on Aug 28, 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 85%
2970Images
Valid Set 10%
333Images
Test Set 6%
195Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x480
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -18° and +18°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.88% of pixels