Dataset Versions

v10

V10

Generated on Jan 14, 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 82%
7288Images
Valid Set 12%
1070Images
Test Set 6%
499Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 1.97% of pixels

Similar Projects

See More
15k images 1 model