Dataset Versions

v28

2023-02-04 4:44pm

Generated on Feb 4, 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 87%
849Images
Valid Set 8%
81Images
Test Set 4%
41Images

Preprocessing

Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -31° and +31°
Shear: ±20° Horizontal, ±28° Vertical
Hue: Between -54° and +54°
Brightness: Between -35% and +35%
Exposure: Between -40% and +40%
Noise: Up to 13% of pixels

Similar Projects

See More