Models
YOLOv4 vs. MobileNet V2 Classification

YOLOv4 vs. MobileNet V2 Classification

Both YOLOv4 Darknet and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast YOLOv4 Darknet and MobileNet V2 Classification.

Models

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YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.
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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.
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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Frameworks
Darknet
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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License
YOLO
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Training Notebook

Compare YOLOv4 Darknet and MobileNet V2 Classification with Autodistill