Dataset Versions

v23

Dataset 1.10 Stanley-25 null- exposer- cut outs-

Generated on Jul 13, 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 87%
660Images
Valid Set 7%
56Images
Test Set 6%
44Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Brightness: Between -60% and +60%
Exposure: Between -10% and +10%
Cutout: 20 boxes with 20% size each

Similar Projects

See More