Dataset Versions

v1

2023-02-27 2:38pm

Generated on Feb 27, 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%
1128Images
Valid Set 10%
133Images
Test Set 5%
67Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Grayscale: Applied
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -35% and +35%
Exposure: Between -35% and +35%