ModelsObject Detection
VLPart
Object Detection
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VLPart

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

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.

Performance

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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.
VLPart
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Use VLPart to Build Computer Vision Pipelines and Applications
Images

Data

Augmentation GuideLabeling Guide
Flask

Training

Model OverviewTrain on ColabTrain on JupyterTrain on KaggleTrain on SageMaker
Screwdriver and Wrench

Utilities

Plot PredictionsFilter PredictionsBlur PredictionsCreate A Confusion MatrixUse SAHI for Small Object Detection
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Convert Annotation Format

YOLOv8 uses the uses the YOLOv8 PyTorch TXT 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.
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Architecture

Frameworks

Annotation Format

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