Dataset Versions

v15

1056 Size

Generated on Sep 15, 2024

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%
3023Images
Valid Set 6%
215Images
Test Set 6%
216Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1056x1056
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

Similar Projects

See More