This is a
fastai
image classification model trained to identify 38 different types of plant diseases from leaf images.
Model Description
GreenLens
is a computer vision model that can classify healthy and diseased plant leaves across various species like tomato, potato, and corn. It was built by fine-tuning a
ResNet34
architecture on the augmented "New Plant Diseases Dataset".
This project was developed as an end-to-end demonstration of a real-world ML workflow: from data sourcing on Kaggle, training on Google Colab, to being shared on the Hugging Face Hub.
How to Use this Model
To use this model, you need to have the
fastai
library installed. You can then load the model and make predictions on your images.
Runs of koyelog GreenLens on huggingface.co
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Total runs
0
24-hour runs
0
3-day runs
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7-day runs
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30-day runs
More Information About GreenLens huggingface.co Model
GreenLens huggingface.co is an AI model on huggingface.co that provides GreenLens's model effect (), which can be used instantly with this koyelog GreenLens model. huggingface.co supports a free trial of the GreenLens model, and also provides paid use of the GreenLens. Support call GreenLens model through api, including Node.js, Python, http.
GreenLens huggingface.co is an online trial and call api platform, which integrates GreenLens's modeling effects, including api services, and provides a free online trial of GreenLens, you can try GreenLens online for free by clicking the link below.
koyelog GreenLens online free url in huggingface.co:
GreenLens is an open source model from GitHub that offers a free installation service, and any user can find GreenLens on GitHub to install. At the same time, huggingface.co provides the effect of GreenLens install, users can directly use GreenLens installed effect in huggingface.co for debugging and trial. It also supports api for free installation.