Models
YOLOv8 vs. Detectron2

YOLOv8 vs. Detectron2

Both YOLOv8 and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and Detectron2.

Models

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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
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Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO, CNN
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
21.1k+
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28.4k+
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License
AGPL-3.0
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Apache-2.0
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Training Notebook

Compare YOLOv8 and Detectron2 with Autodistill

Compare YOLOv8 vs. Detectron2

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.