Models
Faster R-CNN vs. EfficientNet

Faster R-CNN vs. EfficientNet

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

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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EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.
Model Type
Object Detection
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Classification
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Model Features
Item 1 Info
Item 2 Info
Architecture
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CNN
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Frameworks
TensorFlow 1.5
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Keras
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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 EfficientNet with Autodistill

Compare Faster R-CNN vs. EfficientNet

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.