Facebook contributes to MLPerf, open-sources Mask R-CNN2Go

What this post added

Facebook contributes to MLPerf by open-sourcing Mask R-CNN2Go, a computer vision model optimized for embedded and mobile devices. This model supports object detection, classification, person segmentation, and body pose estimation, enabling real-time inference. Mask R-CNN2Go is based on the Mask R-CNN framework and is designed for mobile optimization, currently running on Caffe2 with future PyTorch 1.0 support. It is utilized in mobile ML use cases like AR effects and contributes to MLPerf's edge inference benchmarks.