Dataset Versions

v1

2022-05-26 7:04pm

Generated on May 26, 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%
5328Images
Valid Set 8%
488Images
Test Set 2%
131Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1000x563
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
Exposure: Between -20% and +20%