Models
4M vs. YOLOv4

4M vs. YOLOv4

Both 4M and YOLOv4 Darknet are commonly used in computer vision projects. Below, we compare and contrast 4M and YOLOv4 Darknet.

Models

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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.
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YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.
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
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Frameworks
PyTorch
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Darknet
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
1.1k
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License
Apache 2.0
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YOLO
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Training Notebook

Compare 4M and YOLOv4 Darknet with Autodistill

Compare 4M vs. YOLOv4

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.