Dataset Versions

v10

Final V2

Generated on Mar 30, 2022

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 90%
1878Images
Valid Set 10%
200Images
Test Set 0%
1Images

Preprocessing

Resize: Fit (reflect edges) in 640x640
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2px