Dataset Versions

v23

2023-08-19 3:46am

Generated on Aug 18, 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 72%
789Images
Valid Set 27%
294Images
Test Set 2%
19Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Saturation: Between -31% and +31%
Exposure: Between -28% and +28%
Noise: Up to 6% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise