Models
OWLv2 vs. CoDet

OWLv2 vs. CoDet

Both OWLv2 and CoDet are commonly used in computer vision projects. Below, we compare and contrast OWLv2 and CoDet.

Models

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OWLv2

OWLv2 is a transformer-based object detection model developed by Google Research. OWLv2 is the successor to OWL ViT.
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CoDet

CoDet is an open vocabulary zero-shot object detection model.
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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79
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License
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Apache 2.0 License
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Training Notebook
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Compare OWLv2 and CoDet with Autodistill

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Compare OWLv2 vs. CoDet

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.