Hugging Face introduces the WebSight Dataset, facilitating the conversion of web screenshots to HTML code using vision-language models. The dataset includes real images within web pages, Tailwind CSS, and 2 million examples. Developers can now build their own Screenshot-to-HTML system with fewer resources, as demonstrated by Greg Brockman using GPT4 to convert hand-sketches into HTML webpages. WebSight v0.2 is released, featuring Tailwind CSS code, improved aesthetics, and images in websites. The effort required for GPT-4 to generate acceptable marketing copy is highlighted.
I found this hidden gem 💎 in the format of colab. An end-to-end example by @huggingface H4 team to create a synthetic dataset of web layouts to html/css code! 📔 Colab: https://t.co/wdunzB66Xm 📚 Dataset: https://t.co/eq1CwmcMek 📰 Post: https://t.co/LUEn0fRDIm
When GPT-4 is just trolling https://t.co/BVMA1YgLsW
This is how much effort it took to get GPT-4 to produce acceptable marketing copy https://t.co/LkxQnL9rQL https://t.co/vBYWXEgGs6
Excited to release WebSight v0.2 our 2nd image-to-code dataset! 🪄 -Tailwind CSS code 👨💻 -Better aesthetics ✨ -Images in websites 🖼️ ✍️ Blog post here: https://t.co/CfURSSImRq
When Greg Brockman demo-ed GPT4 by hand-sketching a joke website on a piece of paper and asking the system to convert that into an HTML webpage, it blew my mind. Can you build your own Screenshot-to-HTML system with much fewer resources? With this new resource, most likely… https://t.co/s90xgmiEyc
With the new WebSight dataset, converting the screenshot of a web page to its corresponding HTML code is just one fine-tuning step away We release a new version of our synthetic dataset: -Real images within web pages 🖼️ -Tailwind CSS 🎨 -2M examples 📈 Details in the thread ⬇️ https://t.co/cHsqPw7z3z
Hugging Face presents Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset Using vision-language models (VLMs) in web development presents a promising strategy to increase efficiency and unblock no-code solutions: by providing a https://t.co/B6tHube49Z