Models
YOLOv3 Keras vs. SegFormer

YOLOv3 Keras vs. SegFormer

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

Models

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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.
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Object Detection
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
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Transformers
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Frameworks
Keras
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
7.1k+
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2.2k+
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License
MIT
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NVIDIA Source Code
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Training Notebook

Compare YOLOv3 Keras and SegFormer with Autodistill

Compare YOLOv3 Keras vs. SegFormer

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.