Models
Faster R-CNN vs. MobileNet V2 Classification

Faster R-CNN vs. MobileNet V2 Classification

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

Models

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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.
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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
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Architecture
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Frameworks
TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7.5k+
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License
MIT
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Training Notebook

Compare Faster R-CNN and MobileNet V2 Classification with Autodistill

Compare Faster R-CNN vs. MobileNet V2 Classification

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.