upernet-convnext-base

A Image Segmentation model by openmmlab

openmmlab 267 downloads unknown Image Segmentation
Frameworkstransformerspytorchsafetensors
Languagesen
PapersarXiv:1807.10221arXiv:2201.03545
Tagsupernetvisionimage-segmentation
Downloads
267
License
unknown
Pipeline
Image Segmentation
Author
openmmlab

Run upernet-convnext-base locally on a Q4KM hard drive

Pre-loaded and ready to run. No download time. No configuration.

Shop Q4KM Drives

Related Image Segmentation Models

C
Image Segmentation
clipseg-rd64-refined
by CIDAS
Model ID: CIDAS/clipseg-rd64-refined Model Name: clipseg-rd64-refined Author: CIDAS The...
1.8Mapache-2.0
B
Image Segmentation
RMBG-1.4
by briaai
Model ID: briaai/RMBG-1.4 – a state‑of‑the‑art background‑removal model built on the IS‑Net...
1.4Mmit
Z
Image Segmentation
BiRefNet
by ZhengPeng7
BiRefNet (Bilateral Reference for High‑Resolution Dichotomous Image Segmentation) is a...
937Kmit
X
Image Segmentation
segformer-b0-finetuned-ade-512-512
by Xenova
What is this model? This is a lightweight, vision‑transformer‑based image‑segmentation model that...
892Kmpl

Pre-loaded AI models. Ready to run.

Skip the downloads. Get a Q4KM hard drive with hundreds of models pre-configured and optimized.

Shop Q4KM Hard Drives