Dataset Versions

v6

2024-04-22 10:23pm

Generated on Apr 23, 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 91%
2364Images
Valid Set 7%
177Images
Test Set 2%
60Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±8° Horizontal, ±8° Vertical
Saturation: Between -20% and +20%
Blur: Up to 0.5px
Noise: Up to 1.01% of pixels