This HRNet-W18 model was trained with augmentations on ImageNet-1K using the timm library. HRNet maintains parallel high-to-low resolution convolutions, making it effective for both classification and tasks requiring spatial precision.
Hrnet W18.ms Aug In1k is an Other AI product. It focuses on maintaining high-resolution feature representations throughout the network for improved accuracy on image classification and dense prediction tasks. Hrnet W18.ms Aug In1k is an open-source project aimed at developers. The project is open source (MIT). It runs on the web and API.
timm builds and maintains Hrnet W18.ms Aug In1k, and the product first shipped in 2019. The project is developed in the open on GitHub with 1.1k stars.
Latest indexed changes and source events
timm/hrnet_w18.ms_aug_in1k verified by the PulseGate indexer
Other apps tracked under the same category.
