Models
YOLOv10 vs. EfficientNet

YOLOv10 vs. EfficientNet

Both YOLOv10 and EfficientNet are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and EfficientNet.

Models

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YOLOv10

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".
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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
PyTorch
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7800
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License
GNU Affero General Public
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Training Notebook

Compare YOLOv10 and EfficientNet with Autodistill

Compare YOLOv10 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.