Models
Resnet-32 vs. YOLOX

Resnet-32 vs. YOLOX

Both ResNet 32 and YOLOX are commonly used in computer vision projects. Below, we compare and contrast ResNet 32 and YOLOX.

Models

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ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
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YOLOX

YOLOX is a high-performance object detection model.
Model Type
Classification
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
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CNN, YOLO
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Frameworks
Fast.ai v2
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
32+
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8.9k+
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License
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Apache-2.0
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Training Notebook

Compare ResNet 32 and YOLOX with Autodistill

Compare Resnet-32 vs. YOLOX

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.