Models
OWLv2 vs. Kosmos-2

OWLv2 vs. Kosmos-2

Both OWLv2 and Kosmos-2 are commonly used in computer vision projects. Below, we compare and contrast OWLv2 and Kosmos-2.

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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Kosmos-2

Kosmos-2 is a multimodal language model capable of object detection and grounding text in images.
Model Type
Object Detection
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Object Detection
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Model Features
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Architecture
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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GitHub Stars
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License
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Training Notebook
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Compare OWLv2 and Kosmos-2 with Autodistill

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Compare OWLv2 vs. Kosmos-2

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.