Sayo P.J. Andersson

👋  MODEL COMPUTER VISION   TESTING   Accuracity 👋 Depth Estimation =>   1 of 79 =>   81% 👋 Image Classification =>   3 of 11,228 =>   93% 👋 Image Feature Extraction =>   3 of 221 =>   92% 👋 Image Segmentation =>   4 of 654 =>   88% 👋 Image-to-Image =>   3 of 384 =>   82% 👋 Image-to-Text =>   1 of 502 =>   81% 👋 Object Detection =>   6 of 1866 =>   95% 👋 Token Classification=>   8 of 17,147 =>   91% 👋 Video Classification =>   1 of 826=>   88% 👋 Text-to-Image =>   1 of 24184 =>   77%

80

%

👋  MODEL AUDIO  TESTING   Accuracity 👋 Audio Classification =>   1 of 2,185 =>   82% 👋 Audio-to-Audio =>   1 of 3,748 =>   71% 👋 Automatic Speech Recognition =>   2 of 16,376 =>   94% 👋 Text-to-Speech =>   2 of 1,914 =>   89% 👋 Text-to-Music =>   1 of 3 =>   84% 👋 Caption-tracks-to-text =>   1 of 2 =>   76% 👋 Clothes-Try =>   1 of 1 =>   91% 👋 ComposerMusic =>   1 of 1 =>   83% 👋 Tabular Regression & Classification =>   1 of 193=>   88% 👋 Visual-to-Text =>   1 of 1 =>   81% 👋 DistilRoberta-financial-sentiment =>   1 of 1 =>   98%

80

%

👋  MLOps & DevOps   Pipeline   Performance 👋 BentoML & OpenLLM =>   5 =>   95% 👋 Kubeflow =>   9 =>   94% 👋 MLFlow =>   3 =>   89% 👋 MLJar =>   3 =>   84% 👋 MLRun =>   13 =>   82% 👋 Sheldon =>   7 =>   91% 👋 AWS Cloudformation =>   19 =>   97% 👋 Microsoft Azure =>   33 =>   95% 👋 Autokeras, NAS, Onnix =>   23 =>   91%

80

%