From screenshots to HTML code: Introducing the WebSight dataset
In the world of web development, turning designs into functional websites usually involves a lot of coding and careful testing. What if we could simplify this process, making it possible to convert web designs into working websites more easily and quickly? WebSight is a new dataset that aims at building AI systems capable of transforming screenshots to HTML code.
The challenge
Turning a website design or screenshot into HTML code usually needs an experienced developer. But what if this could be more efficient? Motivated by this question, we investigated how vision-language models (VLMs) could be used in web development to create low-code solutions that improve efficiency.
Today, the main challenge towards that goal is the lack of high-quality datasets tailored for this task. WebSight aims to fill that gap.
In the world of web development, turning designs into functional websites usually involves a lot of coding and careful testing. What if we could simplify this process, making it possible to convert web designs into working websites more easily and quickly? WebSight is a new dataset that aims at building AI systems capable of transforming screenshots to HTML code.
The challenge
Turning a website design or screenshot into HTML code usually needs an experienced developer. But what if this could be more efficient? Motivated by this question, we investigated how vision-language models (VLMs) could be used in web development to create low-code solutions that improve efficiency.
Today, the main challenge towards that goal is the lack of high-quality datasets tailored for this task. WebSight aims to fill that gap.