Models
YOLOv7 Instance Segmentation vs. YOLOv3 Keras

YOLOv7 Instance Segmentation vs. YOLOv3 Keras

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

Models

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YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.
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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
Instance Segmentation
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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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 Stars
12.5k+
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7.1k+
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License
GPL-3.0
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MIT
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Training Notebook

Compare YOLOv7 Instance Segmentation and YOLOv3 Keras with Autodistill

Compare YOLOv7 Instance Segmentation 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.