Models
Phi-3.5 vs. MT-YOLOv6

Phi-3.5 vs. MT-YOLOv6

Both Phi-3.5 and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast Phi-3.5 and MT-YOLOv6.

Models

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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
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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5.5k+
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License
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GPL-3.0
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Training Notebook

Compare Phi-3.5 and MT-YOLOv6 with Autodistill

Compare Phi-3.5 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.