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MT-YOLOv6 vs. MobileNet V2 Classification

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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 4400

MT-YOLOv6

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

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

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
Learn more about MT-YOLOv6
Learn more about MobileNet V2 Classification

Compare MT-YOLOv6 to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare MobileNet V2 Classification to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

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