Dataset Versions

v2

2023-06-27 9:51am

Generated on Jun 27, 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%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 2% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

Similar Projects

See More