Models
Kosmos-2 vs. DETIC

Kosmos-2 vs. DETIC

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

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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DETIC

Detic is an open source segmentation model developed by Meta Research and released in 2022.
Model Type
Object Detection
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Instance Segmentation
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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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PyTorch
GitHub Stars
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1.8k+
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License
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Apache 2.0
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Training Notebook
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Compare Kosmos-2 and DETIC with Autodistill

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Compare Kosmos-2 vs. DETIC

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.