Dataset Versions

v12

2023-03-21 10:49pm

Generated on Mar 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%
225Images
Valid Set 8%
20Images
Test Set 5%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 7-92% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 12% of images
Hue: Between -64° and +64°
Exposure: Between -16% and +16%
Mosaic: Applied
Bounding Box: Rotation: Between -7° and +7°

Similar Projects

See More
1.1k images 1 model