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Convnext Tiny Finetuned Cifar10
This model is a tiny version based on the ConvNeXT architecture, fine-tuned on the CIFAR10 dataset, suitable for image classification tasks.
Downloads 2,014
Release Time : 8/10/2022
Model Overview
ConvNeXT-tiny Fine-tuned on CIFAR10 is a tiny model for image classification, based on the ConvNeXT architecture and fine-tuned on the CIFAR10 dataset.
Model Features
Efficient Image Classification
Based on the ConvNeXT architecture, optimized for efficiency and accuracy in image classification tasks.
Tiny Size
The model is small in size, making it suitable for environments with limited resources.
Pre-trained and Fine-tuned
Pre-trained on ImageNet-1k and fine-tuned on the CIFAR10 dataset, enhancing performance for specific tasks.
Model Capabilities
Image Classification
Visual Recognition
Use Cases
Computer Vision
Object Recognition
Used to identify object categories in images.
Performs well on the CIFAR10 dataset.
Image Classification
Performs multi-category classification on images.
Suitable for small-scale image classification tasks.
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