Models
YOLOS vs. YOLOv3 PyTorch

YOLOS vs. YOLOv3 PyTorch

Both YOLOS and YOLOv3 PyTorch are commonly used in computer vision projects. Below, we compare and contrast YOLOS and YOLOv3 PyTorch.

Models

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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Learn more about YOLOS
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YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.
Learn more about YOLOv3 PyTorch
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
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PyTorch
GitHub
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View Repo
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View Repo
GitHub Stars
812+
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7.2k+
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License
MIT
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GPL-3.0
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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rocket icon
Deploy with Roboflow
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Compare YOLOS and YOLOv3 PyTorch with Autodistill

Compare YOLOS vs. YOLOv3 PyTorch

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.