Dataset Versions

v1

2022-11-17 11:09am

Generated on Nov 17, 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 95%
9936Images
Valid Set 3%
273Images
Test Set 3%
278Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Shear: ±4° Horizontal, ±4° Vertical
Saturation: Between -7% and +7%
Exposure: Between -7% and +7%
Noise: Up to 3% of pixels
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical

Similar Projects

See More