Dataset Versions

v3

2022-11-21 1:34pm

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%
8286Images
Valid Set 8%
750Images
Test Set 8%
750Images

Preprocessing

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

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