Models
MobileNet SSD v2 vs. MT-YOLOv6

MobileNet SSD v2 vs. MT-YOLOv6

Both MobileNet SSD v2 and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and MT-YOLOv6.

Models

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MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
Model Type
Object Detection
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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
TensorFlow 1.5
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
81+
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5.5k+
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License
MIT
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GPL-3.0
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Training Notebook

Compare MobileNet SSD v2 and MT-YOLOv6 with Autodistill

Compare MobileNet SSD v2 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.