Models
EfficientNet vs. YOLOv3 Keras

EfficientNet vs. YOLOv3 Keras

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

Models

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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.
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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.
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
CNN
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YOLO
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Frameworks
Keras
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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7.1k+
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License
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MIT
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Training Notebook

Compare EfficientNet and YOLOv3 Keras with Autodistill

Compare EfficientNet vs. YOLOv3 Keras

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.