Models
Kosmos-2 vs. CoDet

Kosmos-2 vs. CoDet

Both Kosmos-2 and CoDet are commonly used in computer vision projects. Below, we compare and contrast Kosmos-2 and CoDet.

Models

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Kosmos-2

Kosmos-2 is a multimodal language model capable of object detection and grounding text in images.
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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 Kosmos-2 and CoDet with Autodistill

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Compare Kosmos-2 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.