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Yolov5n Cls V7.0

Developed by fcakyon
YOLOv5n-cls-v7.0 is a lightweight image classification model based on the YOLOv5 architecture, suitable for efficient visual task processing.
Downloads 16
Release Time : 12/13/2022

Model Overview

This model is the classification version of the YOLOv5 series, primarily used for image classification tasks, featuring high processing speed and good classification performance.

Model Features

Lightweight and Efficient
The model is based on the YOLOv5 architecture with a lightweight design, suitable for running on resource-limited devices.
Easy Fine-tuning
Supports fine-tuning on custom datasets to adapt to different classification task requirements.

Model Capabilities

Image Classification
Visual Task Processing

Use Cases

Computer Vision
General Image Classification
Classify and recognize common objects and scenes.
Custom Classification Tasks
Adapt the model to specific domain classification needs through fine-tuning.
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