Label issues in the training data cause YOLOX to miss many airport terminal targets.
YOLOG improves generalization in new geographic areas. Off-the-shelf architecture can fall apart when dealing with unseen data, so YOLOG generates synthetic data during training and reduces false positives by 98%.
YOLOG In Practice: These improvements work together to help make easy, high-performance off-the-shelf geospatial object detection a reality
 
Hamlet: Your ultimate MLOPS Geospatial Object detection Toolkit!

Get ready to unlock the full potential of geospatial object detection with HAMLET, the cutting-edge MLOPS (Machine Learning Operations) solution developed by Ampsight. Seamlessly combining the power of artificial intelligence and geospatial analytics, HAMLET empowers businesses and researchers to revolutionize their object detection workflows.

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