Models
YOLOv7 vs. YOLOS

YOLOv7 vs. YOLOS

Both YOLOv7 and YOLOS are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 and YOLOS.

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
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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.
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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Transformer, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
13.0k+
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812+
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License
GPL-3.0
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MIT
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Training Notebook

Compare YOLOv7 and YOLOS with Autodistill

Compare YOLOv7 vs. YOLOS

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.