Labelbox
V7
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LT Browser by Lambdatest
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A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
With LT Browser, you can see mobile view of website on different screen sizes and resolution. With over 50+ devices to choose from, mobile website test hasn't been much easier. Use LT Browser and ensure that your website is mobile responsive. You can create your own custom devices and save it for future uses. Create new mobile, tablet or desktop devices and test website on various devices, screen resolution and perform screen resolution test for website on different screen sizes. You don’t have to switch between two devices to perform mobile website test. Test on two devices simultaneously with LT Browser and perform mobile website test on different tablet and desktop devices and inspect website on different resolution and resolution simultaneously. LT Browser comes with Dev Tool to debug multiple devices while performing responsiveness test on your devices simultaneously. Test website on various devices simultaneously with separate Dev Tools for each device.
Labelbox LT Browser by LambdatestNo LT Browser by Lambdatest videos yet. You could help us improve this page by suggesting one.
Service goes down often. Very slow team. Slow support.
LT Browser is the new defacto tool for responsive testing requirements. Being a ecommerce company with wide audience we need to stay on our toes to keep our users bouncing because of a UI bug. LT browser has been helping us for the past 3 months with testing on the latest mobile view ports. And my favorite feature is instant local testing by simply adding the URL and side by side comparison of two devices. And best part of the debugging is that we can see the changes being reflected in real time
As website designers our team loves the way we can show all the progress to our clients. It helped us have a better transparency in our work. We can just screengrab the viewport and easily share it with clients. And the best part is the interface, it's intuitive enough that none of us have ever looked at the support doc. Ability to test the local url path and Integration with JIRA saves a lot of time and makes it easier to communicate within the team. Kudos Team LT Browser..!!
Responsive testing can be a really daunting task. To ensure that all media queries are working properly for specific screen sizes is bound to be time consuming. However, LT browser has made the task comparatively easy for me and my team. It enabled us to test on multiple pre installed devices in no time. Plus, we can test over 2 devices at the same time in a side by side view.
Our development team relies heavily over this tool since it offers hassle-free local testing experience, supports hot-reloading and offers developer tools to help us debug any UI bug on the go.
Even our design team loves the LT browser due to its intuitiveness. They are always intrigued to check if the changes are rendering well and as per the design or not after every release cycle. With LT browser, they can do it easily without having to install anything or dealing with developer tools mobile-view debugging
Based on our record, Labelbox seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / over 1 year ago
Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but I’m honestly still very confused. Any help... Source: almost 2 years ago
By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: about 2 years ago
LabelBox - they provide free versions for research. Source: about 2 years ago
Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: over 2 years ago
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