Models
YOLOv7 vs. YOLOv3 Keras

YOLOv7 vs. YOLOv3 Keras

Both YOLOv7 and YOLOv3 Keras are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 and YOLOv3 Keras.

Models

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YOLOv7

YOLOv7 is a state of the art object detection model.
Learn more about YOLOv7
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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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Frameworks
PyTorch
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Keras
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
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View Repo
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View Repo
GitHub Stars
13.0k+
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7.1k+
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License
GPL-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 YOLOv7 and YOLOv3 Keras with Autodistill

Compare YOLOv7 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.