4M vs. YOLOv7

Both 4M and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast 4M and YOLOv7.

Models

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.

Learn more about 4M

YOLOv7

YOLOv7 is a state of the art object detection model.

Learn more about YOLOv7

Model Type

Multimodal Model

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

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YOLO, CNN

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Frameworks

PyTorch

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

1.1k

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13.0k+

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License

Apache 2.0

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GPL-3.0

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Paper

--

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Training Notebook

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Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare 4M and YOLOv7 with Autodistill

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4M vs. YOLOv7

4M vs. YOLOv7

.

Both

4M

and

YOLOv7

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

4M

and

YOLOv7

	4M	YOLOv7
Date of Release	Jun 24, 2024	Jul 06, 2022
Model Type	Multimodal Model	Object Detection
Architecture		YOLO, CNN
GitHub Stars	800	12500

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv7

YOLOv7 is a state of the art object detection model.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

https://blog.roboflow.com/yolov7-breakdown/

Compare 4M to other models

Compare YOLOv7 to other models

YOLOv9 Image Segmentation

Florence 2 Image Segmentation

Florence 2 Object Detection

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