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Autotrain Convnext Test Masterage 2947785378
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Autotrain Convnext Test Masterage 2947785378

Developed by ivensamdh
This is a multi-category image classification model trained using AutoTrain, based on the ConvNeXt architecture, suitable for general image classification tasks.
Image Classification
Transformers
#Auto-trained image classification#ConvNeXt architecture#Multi-category recognition
Downloads 18
Release Time : 1/18/2023

Model Overview

This model is a visual classification model capable of multi-category classification of input images. The model is trained via the AutoTrain framework and is suitable for scenarios requiring rapid deployment of image classification solutions.

Model Features

AutoTrain training
Automatically trained using the AutoTrain framework, simplifying the model development process
ConvNeXt architecture
Based on the modern ConvNeXt architecture, providing good image classification performance
Multi-category classification
Supports multi-category classification of images

Model Capabilities

Image classification
Multi-category recognition

Use Cases

General image recognition
Animal recognition
Identify animal species in images
Correctly identified a tiger in the example
Everyday object recognition
Identify common objects such as teapots
Correctly identified a teapot in the example
Scene recognition
Identify different scenes such as buildings
Correctly identified a palace in the example
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