What is VLPart?

VLPart, developed by Meta Research, is an object detection and segmentation model that works with an open vocabulary

About the model

Here is an overview of the

VLPart

model:

Date of Release
Model Type Object Detection
Architecture
Framework Used
Annotation Format
Stars on GitHub +

VLPart, developed by Meta Research, is an object detection and segmentation model that works with an open vocabulary. autodistill-vlpart enables you to use VLPart to auto-label images for use in training a fine-tuned model. autodistill-vlpart supports the LVIS vocabulary.

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Model Performance

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Deploy VLPart to production

Roboflow offers a range of SDKs with which you can deploy your model to production.

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VLPart Annotation Format

VLPart

uses the

uses the

annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.

Convert data between formats

Label data automatically with VLPart

You can automatically label a dataset using

VLPart

with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use

VLPart

to train a computer vision model.

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