Models
YOLOv10 vs. Detectron2

YOLOv10 vs. Detectron2

Both YOLOv10 and Detectron2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and Detectron2.

Models

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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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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
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7800
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28.4k+
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License
GNU Affero General Public
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Apache-2.0
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Training Notebook

Compare YOLOv10 and Detectron2 with Autodistill

Compare YOLOv10 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.