Models
VLPart vs. OWL ViT

VLPart vs. OWL ViT

Both VLPart and OWL ViT are commonly used in computer vision projects. Below, we compare and contrast VLPart and OWL ViT.

Models

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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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OWL ViT

OWL-ViT is a transformer-based object detection model developed by Google Research.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
MIT License
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Apache 2.0
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Training Notebook
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Compare VLPart and OWL ViT with Autodistill

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Compare VLPart vs. OWL ViT

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.