Models
4M vs. MT-YOLOv6

4M vs. MT-YOLOv6

Both 4M and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast 4M and MT-YOLOv6.

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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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
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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CNN, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
1.1k
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5.5k+
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License
Apache 2.0
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GPL-3.0
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Training Notebook

Compare 4M and MT-YOLOv6 with Autodistill

Compare 4M vs. MT-YOLOv6

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.