Dataset Versions

v4

2022-08-26 3:23pm

Generated on Aug 26, 2022

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 100%
345Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -26° and +26°
Shear: ±30° Horizontal, ±24° Vertical
Grayscale: Apply to 25% of images
Hue: Between -64° and +64°
Saturation: Between -64% and +64%
Brightness: Between -42% and +42%
Exposure: Between -26% and +26%
Blur: Up to 8.75px
Noise: Up to 7% of pixels
Cutout: 3 boxes with 15% size each

Similar Projects

See More