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Cspdarknet53 Mish

Developed by frgfm
Pre-trained CSP-Darknet-53 Mish architecture image classification model based on the ImageNette dataset
Downloads 14
Release Time : 3/2/2022

Model Overview

This model adopts the CSP-Darknet-53 Mish architecture, improving the convolutional stage through Cross Stage Partial Blocks and the Mish activation function, making it suitable for image classification tasks.

Model Features

Cross Stage Partial Block Design
Improves the convolutional stage by adding Cross Stage Partial Blocks, enhancing the model's learning capability
Mish Activation Function
Uses the Mish activation function instead of traditional activation functions to improve model performance
ImageNette Pre-training
Pre-trained on the ImageNette dataset, providing strong image classification capabilities

Model Capabilities

Image Classification
Feature Extraction

Use Cases

Computer Vision
Image Classification
Classify and recognize input images
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