Dataset Versions

v6

2021-10-25 10:31am

Generated on Oct 25, 2021

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%
6696Images
Valid Set 8%
637Images
Test Set 4%
319Images

Preprocessing

Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 5% of pixels