Dataset Versions

v2

2023-06-21 4:08pm

Generated on Jun 21, 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%
1122Images
Valid Set 8%
101Images
Test Set 4%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Hue: Between -45° and +45°
Saturation: Between -40% and +40%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Noise: Up to 5% of pixels

Similar Projects

See More