Dataset Versions

v23

2023-07-23 5:15pm

Generated on Jul 23, 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 90%
4470Images
Valid Set 8%
400Images
Test Set 2%
99Images

Preprocessing

Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Crop: 5% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±5° Horizontal, ±15° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 3.25px
Bounding Box: Noise: Up to 6% of pixels

Similar Projects

See More
1.7k images 1 model