A new set of industry-leading semantic segmentation models, dubbed DeciSeg, are said to significantly outperform the most powerful models publicly available, such as the MobileViT released by Apple, and the DeepLab family released by Google. Deci’s models deliver more than 2x lower latency, as well as 3-7% higher accuracy. Semantic segmentation is one of the […]
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Deep learning development platform speeds AI work
Version 2.0 of the Deci deep learning development platform makes it easier than ever before for AI developers to build, optimize, and deploy computer vision models on any hardware and environment including cloud, edge and mobile with outstanding accuracy and runtime performance. AI developers face an uphill struggle developing production-ready deep learning models for deployment. […]
Image classification models deliver improved run time on Intel Cascade Lake CPUs
A new set of industry-leading image classification models, dubbed DeciNets, run on Intel Cascade Lake CPUs. Deci’s proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated the new image classification models that significantly improve all published models and deliver more than 2x improvement in runtime, coupled with improved accuracy, as compared to the most powerful […]
Deep learning training library augments computer vision model development
SuperGradients is an “all-in-one” deep learning training library for computer vision models. SuperGradients enables developers to train PyTorch-based models for the most common computer vision tasks, including object detection, image classification and semantic segmentation with just one training script. In addition, users can easily load and fine-tune pre-trained state-of-the-art models (YOLOv5, DDRNet, EfficientNet, RegNet, ResNet, […]
