Dataset Versions

v12

2024-10-03 5:26pm

Generated on Oct 3, 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 87%
756Images
Valid Set 9%
77Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±7° Horizontal, ±11° Vertical
Grayscale: Apply to 10% of images
Blur: Up to 1.1px
Noise: Up to 1% of pixels