Dataset Versions

v4

2024-04-22 10:36am

Generated on Apr 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 92%
5506Images
Valid Set 6%
335Images
Test Set 3%
162Images

Preprocessing

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

Augmentations

Outputs per training example: 5
Rotation: Between -10° and +10°
Shear: ±8° Horizontal, ±8° Vertical
Saturation: Between -20% and +20%
Blur: Up to 2px