Dataset Versions

v7

2024-09-03 4:33am

Generated on Sep 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 94%
406Images
Valid Set 4%
17Images
Test Set 2%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 865x865
Grayscale: Applied

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Brightness: Between -24% and +24%
Blur: Up to 0.6px
Noise: Up to 0.54% of pixels