PIXTA is the largest platform of visual materials in the Asia Pacific region with 100M+ featured images and videos, offering fully-managed services, high quality contents and data, and powerful tools for businesses & organizations to enable their creative and machine learning projects. PIXTA AI helps to empower AI models by an end-to-end data preparation service with quality, scalability & compliance.
As a team of experienced Data Scientist & AI engineer, PIXTA AI prioritize ground-truth data & high quality annotated datasets in building high perfomance AI models. With data centric approach & human-in-the-loop service model, we provide fully-managed annotation service at high accuracy, high quality & flexible scalability to empower AI projects.
Annotation & Labelling services from PIXTA AI cover any project requirements: * Attribute & Classification * Bounding boxes * Key points/Landmarks * Polygons * Cuboids * Lines and splines * Instance segmentation * Semantic segmentation ...
Our dedicated team ensure quality at scale with full compliance by leading AI experts.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
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Service goes down often. Very slow team. Slow support.
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: almost 2 years ago
LabelBox - they provide free versions for research. Source: almost 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: about 2 years ago
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