Models
Faster R-CNN vs. MobileNet SSD v2

Faster R-CNN vs. MobileNet SSD v2

Both Faster R-CNN and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast Faster R-CNN and MobileNet SSD v2.

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 SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Frameworks
TensorFlow 1.5
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TensorFlow 1.5
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7.5k+
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81+
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License
MIT
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MIT
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Training Notebook

Compare Faster R-CNN and MobileNet SSD v2 with Autodistill

Compare Faster R-CNN vs. MobileNet SSD v2

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.