Models
YOLOX vs. EfficientNet

YOLOX vs. EfficientNet

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

Models

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YOLOX

YOLOX is a high-performance object detection model.
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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
CNN, YOLO
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CNN
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Frameworks
PyTorch
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
8.9k+
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License
Apache-2.0
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Training Notebook

Compare YOLOX and EfficientNet with Autodistill

Compare YOLOX 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.