Models
MT-YOLOv6 vs. YOLOR

MT-YOLOv6 vs. YOLOR

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

Models

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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
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YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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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
5.5k+
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2k+
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License
GPL-3.0
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GPL-3.0
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Training Notebook

Compare MT-YOLOv6 and YOLOR with Autodistill

Compare MT-YOLOv6 vs. YOLOR

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.