Dataset Versions

v5

2024-03-19 7:12am

Generated on Mar 19, 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 76%
1372Images
Valid Set 11%
206Images
Test Set 12%
220Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.73% of pixels