Models
YOLOv8 vs. YOLOv3 Keras

YOLOv8 vs. YOLOv3 Keras

Both YOLOv8 and YOLOv3 Keras are commonly used in computer vision projects. Below, we compare and contrast YOLOv8 and YOLOv3 Keras.

Models

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YOLOv8

YOLOv8 is a state-of-the-art object detection and image segmentation model created by Ultralytics, the developers of YOLOv5.
Learn more about YOLOv8
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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.
Learn more about YOLOv3 Keras
Model Type
Object Detection
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO, CNN
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YOLO
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
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Keras
GitHub
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View Repo
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View Repo
GitHub Stars
21.1k+
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7.1k+
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License
AGPL-3.0
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MIT
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare YOLOv8 and YOLOv3 Keras with Autodistill

Compare YOLOv8 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.