Dataset Versions

v2

2022-11-21 2:24pm

Generated on Nov 21, 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 85%
6147Images
Valid Set 8%
550Images
Test Set 8%
550Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Shear: ±3° Horizontal, ±3° 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
3.9k images 1 model