https://eugeneyan.com/rss 09月30日 19:15
Datagene.io产品图像分类API上线
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Datagene.io的产品图像分类API已上线,专为时尚领域设计。该API基于Keras和Theano构建,运行于无GPU的AWS服务器上,图像分类速度快,准确率高。用户可通过简单界面上传PNG、JPG或JPEG格式的时尚产品图像,快速获得分类结果。虽然API已暂停服务,但项目展示了在电商领域实现高效图像分类的技术潜力。

📸 该API专注于时尚产品图像分类,最佳效果应用于电商领域,因训练数据集中于时尚图像。

🔍 图像分类性能优异,Top-1验证准确率达76%,Top-5验证准确率高达97.4%,能快速精准识别图像类别。

⚡️ 运行效率高,单次分类结果返回时间少于300毫秒,GPU批量模式下速度更快,部署于无GPU的AWS服务器上。

🌐 用户交互简单,支持PNG/JPG/JPEG格式上传,移动端适配良好,iOS用户可直接拍照或从相册选择图像。

📌 项目基于Keras和Theano开发,虽已暂停服务以控制云成本,但技术实现为电商图像分类提供了参考方案。

After toiling for a few months on this, product image classification is now live on Datagene.io! While the product classification API works with product titles, the image classification API works with product images, though only for fashion. (Github repositiory)

Update: API discontinued to save on cloud cost.

This is part of a series of posts on building a product classification API:

Some facts about the image classification API:

    Works best with e-commerce like fashion images (as that’s what it was trained on) Top-1 validation accuracy: 0.76; Top-5 validation accuracy: 0.974 Returns results under 300 milliseconds (will be faster in batch mode with GPU) Built on Keras and Theano, and runs on a tiny AWS server without GPU.

How to play with it?First, click on browse to select a file for upload. The file needs to have either a “.png”, “.jpg”, or “.jpeg” extension (case-insensitive).

A very simple input form for your images, with basic validation.

Then, click on the submit button below and wait patiently—results should appear in a second or so, depending on network speed and image sizhttps://eugeneyan.com/assets/image-classification-submit-button.webpon-submit-button.webp" title="Image classification submit button" loading="lazy" alt="Image classification submit button">

A very simple submit button.

Here’s an example

Givehttps://eugeneyan.com/assets/image-classification-input-tshirt.webpets/image-classification-input-tshirt.webp" title="Image classification input t-shirt" loading="lazy" alt="Image classification input t-shirt">

I wonder if the model will also have learnt about the taglinehttps://eugeneyan.comhttps://eugeneyan.com/assets/image-classification-results-tshirt.webpget.

Oh, they don't have a category for smartass t-shhttps://eugeneyan.comhttps://eugeneyan.com/assets/image-classification-mobile.webp">It works on mobile too

Look ma, web responsive!

You can also try the image classification API on mobile. On iOS, it allows you to take a photo, or select one from your photo library or iCloud drive.

Please leave suggestions on UI (or any other) improvements in the comments!

If you found this useful, please cite this write-up as:

Yan, Ziyou. (Nov 2016). Image classification API is now live!. eugeneyan.com. https://eugeneyan.com/writing/image-categorization-is-now-live/.

or

@article{yan2016categorization,  title   = {Image classification API is now live!},  author  = {Yan, Ziyou},  journal = {eugeneyan.com},  year    = {2016},  month   = {Nov},  url     = {https://eugeneyan.com/writing/image-categorization-is-now-live/}}
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Datagene.io 产品图像分类 时尚电商 Keras Theano 图像识别API
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