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On this page
  • Some examples of pre-trained models:
  • Some examples of model applications:
  • Guides on running models in Supervisely:

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  1. Neural Networks
  2. Legacy

Run pre-trained models

PreviousTrain custom Neural NetworksNextGet Supervisely

Last updated 2 months ago

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You can deploy your trained model in Supervisely with just a click or pick one of the ready-to-use pre-trained models from the . Search for “Serve …” Supervisely App and run the model on one of your agents. Now, use API to communicate with the model or use one of our Supervisely Apps that helps you apply the model in various scenarios, such as running the model on each image in the dataset or integrating it in the Labeling Toolbox.

Some examples of pre-trained models:

Find more pre-trained models in

Some examples of model applications:

Guides on running models in Supervisely:

🔮
Ecosystem
Serve MMDetection
Serve MMClassification
Serve Segment Anything in High Quality
Serve UNet
Ecosystem
Apply NN to Images Project
NN Image Labeling
Batched Smart Tool
Apply OWL-ViT To Images Project
Apply Detection and Pose Estimation Models to Images Project
How to auto-label images with OWL-ViT - SOTA Google's foundation object detector
ViTPose — How to use the best Pose Estimation Model on Humans & Animals
Unlocking Text - OCR with Supervisely
MBPTrack Tutorial - SOTA 3D Point Cloud Object Tracking in 2023 for LiDAR & Radar