Image Classification with AutoTrain
📰 Hugging Face Blog
Hugging Face's AutoTrain allows users to train image classification models with zero configuration needed
Action Steps
- Create a Hugging Face account
- Go to the AutoTrain homepage and click on 'Create new project'
- Choose the image classification task and upload your dataset
- Let AutoTrain experiment with different models and configure the best one
Who Needs to Know This
Data scientists and machine learning engineers can benefit from using AutoTrain to quickly train and deploy image classification models, while product managers can leverage this technology to build more accurate and efficient computer vision applications
Key Insight
💡 AutoTrain allows users to train image classification models without requiring extensive coding knowledge or machine learning expertise
Share This
🤖 Train image classification models with zero config! 📸
Key Takeaways
Hugging Face's AutoTrain allows users to train image classification models with zero configuration needed
Full Article
Published Time: 2022-09-28T00:00:00.131Z
# Image Classification with AutoTrain
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[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/autotrain-image-classification#image-classification-with-autotrain) Image Classification with AutoTrain
Published September 28, 2022
[Update on GitHub](https://github.com/huggingface/blog/blob/main/autotrain-image-classification.md)
[- [x] Upvote 2](https://huggingface.co/login?next=%2Fblog%2Fautotrain-image-classification)
* [](https://huggingface.co/ArtificialZeng "ArtificialZeng")
* [](https://huggingface.co/HonakerAgency "HonakerAgency")
[](https://huggingface.co/NimaBoscarino)
[Nima Boscarino NimaBoscarino Follow](https://huggingface.co/NimaBoscarino)
* [How can you train your own image classifier?](https://huggingface.co/blog/autotrain-image-classification#how-can-you-train-your-own-image-classifier "How can you train your own image classifier?")
So you’ve heard all about the cool things that are happening in the machine learning world, and you want to join in. There’s just one problem – you don’t know how to code! 😱 Or maybe you’re a seasoned software engineer who wants to add some ML to your side-project, but you don’t have the time to pick up a whole new tech stack! For many people, the technical barriers to picking up machine learning feel insurmountable. That’s why Hugging Face created [AutoTrain](https://huggingface.co/autotrain), and with the latest feature we’ve just added, we’re making “no-code” machine learning better than ever. Best of all, you can create your first project for ✨ free! ✨
[Hugging Face AutoTrain](https://huggingface.co/autotrain) lets you train models with **zero** configuration needed. Just choose your task (translation? how about question answering?), upload your data, and let Hugging Face do the rest of the work! By letting AutoTrain experiment with number of different models, there's even a good chance that you'll end up with a model that performs better than a model that's been hand-trained by an engineer 🤯 We’ve been expanding the number of tasks that we support, and we’re proud to announce that **you can now use AutoTrain for Computer Vision**! Image Classification is the latest task we’ve added, with more on the way. But what does this mean for you?
[Image Classification](https://huggingface.co/tasks/image-classification) models learn to _categorize_ images, meaning that you can train one of these models to label any image. Do you want a model that can recognize signatures? Distinguish bird species? Identify plant diseases? As long as you can find an appropriate dataset, an image classification model has you covered.
## [](https://huggingface.co/blog/autotrain-image-classification#how-can-you-train-your-own-image-classifier) How can you train your own image classifier?
If you haven’t [created a Hugging Face account](https://huggingface.co/join) yet, now’s the time! Following that, make your way over to the [AutoTrain homepage](https://huggingface.co/autotrain) and click on “Create new project” to get started. You’ll be asked to fill in some
# Image Classification with AutoTrain
[Hugging Face](https://huggingface.co/)
* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *
* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)
[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/autotrain-image-classification#image-classification-with-autotrain) Image Classification with AutoTrain
Published September 28, 2022
[Update on GitHub](https://github.com/huggingface/blog/blob/main/autotrain-image-classification.md)
[- [x] Upvote 2](https://huggingface.co/login?next=%2Fblog%2Fautotrain-image-classification)
* [](https://huggingface.co/ArtificialZeng "ArtificialZeng")
* [](https://huggingface.co/HonakerAgency "HonakerAgency")
[](https://huggingface.co/NimaBoscarino)
[Nima Boscarino NimaBoscarino Follow](https://huggingface.co/NimaBoscarino)
* [How can you train your own image classifier?](https://huggingface.co/blog/autotrain-image-classification#how-can-you-train-your-own-image-classifier "How can you train your own image classifier?")
So you’ve heard all about the cool things that are happening in the machine learning world, and you want to join in. There’s just one problem – you don’t know how to code! 😱 Or maybe you’re a seasoned software engineer who wants to add some ML to your side-project, but you don’t have the time to pick up a whole new tech stack! For many people, the technical barriers to picking up machine learning feel insurmountable. That’s why Hugging Face created [AutoTrain](https://huggingface.co/autotrain), and with the latest feature we’ve just added, we’re making “no-code” machine learning better than ever. Best of all, you can create your first project for ✨ free! ✨
[Hugging Face AutoTrain](https://huggingface.co/autotrain) lets you train models with **zero** configuration needed. Just choose your task (translation? how about question answering?), upload your data, and let Hugging Face do the rest of the work! By letting AutoTrain experiment with number of different models, there's even a good chance that you'll end up with a model that performs better than a model that's been hand-trained by an engineer 🤯 We’ve been expanding the number of tasks that we support, and we’re proud to announce that **you can now use AutoTrain for Computer Vision**! Image Classification is the latest task we’ve added, with more on the way. But what does this mean for you?
[Image Classification](https://huggingface.co/tasks/image-classification) models learn to _categorize_ images, meaning that you can train one of these models to label any image. Do you want a model that can recognize signatures? Distinguish bird species? Identify plant diseases? As long as you can find an appropriate dataset, an image classification model has you covered.
## [](https://huggingface.co/blog/autotrain-image-classification#how-can-you-train-your-own-image-classifier) How can you train your own image classifier?
If you haven’t [created a Hugging Face account](https://huggingface.co/join) yet, now’s the time! Following that, make your way over to the [AutoTrain homepage](https://huggingface.co/autotrain) and click on “Create new project” to get started. You’ll be asked to fill in some
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