Models
YOLOv3 Keras vs. EfficientNet

YOLOv3 Keras vs. EfficientNet

Both YOLOv3 Keras and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv3 Keras and EfficientNet.

Models

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YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.
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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
YOLO
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CNN
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Frameworks
Keras
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7.1k+
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License
MIT
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Training Notebook

Compare YOLOv3 Keras and EfficientNet with Autodistill

Compare YOLOv3 Keras 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.