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Zoobot Encoder Euclid
Z
Zoobot Encoder Euclid
Developed by mwalmsley
An image classification model built based on the timm library, with zoobot-encoder-convnext_nano as the base model, capable of image classification.
Downloads 206
Release Time : 1/23/2025
Model Overview
This model is a deep learning model for image classification, built based on a variant of the ConvNeXt architecture, suitable for general image classification tasks.
Model Features
Efficient image classification
Based on the ConvNeXt architecture, it provides efficient image classification capabilities
Pretrained model basis
Built on the zoobot-encoder-convnext_nano pretrained model
Lightweight implementation
Implemented using the timm library for easy deployment and use
Model Capabilities
Image classification
Feature extraction
Use Cases
General image classification
Object recognition
Recognize common objects in images
Scene classification
Classify image scenes
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