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Displaying 11 results

Llama-3.2-11B-Vision-Instruct
NVIDIA
The Llama 3.2 Vision instruction-tuned models are optimized for visual recognition, image reasoning, captioning, and answering general questions about an image.
Container
VISTA-3D NIM
NVIDIA
The VISTA-3D NIM accelerates ground truth data creation by streamlining segmentation and annotations with an interactive foundation model.
Container
Orsi Academy Sample Applications
NVIDIA
Sample models, segmentations and videos from ORSI Academy to be used with Holoscan SDK
Resource
Medical Hyperspectral Segmentation Sample App Data
NVIDIA
Data and model for the medical hyperspectral segmentation sample app.
Resource
PyNvVideoCodec
NVIDIA
PyNvVideoCodec is NVIDIA’s Python based video codec library for hardware accelerated video encode and decode on NVIDIA GPUs.
Resource
OneFormer Research
NVIDIA
OneFormer is a unified AI model for multiple image segmentation tasks, including semantic, instance, and panoptic segmentation.
Model
PeopleSemSeg AMR
NVIDIA
People semantic segmentation network, finetuned on robotics AMR dataset, optimized for Issac Perceptor & Nvblox.
Model
IBM Visual Insights
IBM Corporation
IBM Visual Insights makes computer vision with deep learning more accessible to business users. The software includes an intuitive toolset that empowers subject matter experts to label, train, and deploy deep learning.
Helm Chart
NVOneFormer Commercial
NVIDIA
OneFormer - a unified AI model for multiple image segmentation tasks - trained on commercial data.
Model
DeepStream SDK
NVIDIA
NVIDIA DeepStream SDK enables developers to build accelerated pipelines for a wide range of use-cases such as IVA, retail, industrial inspection, and many more with minimal development effort.
Collection
Image Segmentation
NVIDIA
A collection of easy to use, highly optimized Deep Learning Models for Image Segmentation. Deep Learning Examples provides Data Scientist and Software Engineers with recipes to Train, fine-tune, and deploy State-of-the-Art Models
Collection
1-11 of 11 items

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