Dataset Versions

v11

2023-12-09 4:32pm

Generated on Dec 9, 2023

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 85%
11298Images
Valid Set 10%
1293Images
Test Set 5%
725Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Blur: Up to 2px