Models
MobileNet V2 Classification vs. Faster R-CNN

MobileNet V2 Classification vs. Faster R-CNN

Both MobileNet V2 Classification and Faster R-CNN are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and Faster R-CNN.

Models

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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.
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Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
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TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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7.5k+
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License
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MIT
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Training Notebook

Compare MobileNet V2 Classification and Faster R-CNN with Autodistill