Dataset Versions

v2

2024-01-22 2:10pm

Generated on Jan 22, 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%
2028Images
Valid Set 8%
194Images
Test Set 4%
95Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Blur: Up to 1.2px
Noise: Up to 0.89% of pixels