Models
MT-YOLOv6 vs. MobileNet V2 Classification

MT-YOLOv6 vs. MobileNet V2 Classification

Both MT-YOLOv6 and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast MT-YOLOv6 and MobileNet V2 Classification.

Models

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MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
Learn more about MT-YOLOv6
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MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
Learn more about MobileNet V2 Classification
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
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Frameworks
PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
5.5k+
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License
GPL-3.0
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Training Notebook

Compare MT-YOLOv6 and MobileNet V2 Classification with Autodistill

Models

MT-YOLOv6 vs. MobileNet V2 Classification

.

Both

MT-YOLOv6

and

MobileNet V2 Classification

are commonly used in computer vision projects. Below, we compare and contrast

MT-YOLOv6

and

MobileNet V2 Classification
  MT-YOLOv6 MobileNet V2 Classification
Date of Release Jun 23, 2022
Model Type Object Detection Classification
Architecture CNN, YOLO
GitHub Stars 5500

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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