Keymakr Data Labeling Newspot #19
Keymakr Data Labeling
We create exceptional Training Datasets for Computer Vision AI and Machine Learning Models
What You Need To Know About Data Creation: Data Annotation, Labeling, Segmentation, And More!
Artificial intelligence is, at its core, bound by the data that is used to create it. This is where AI data annotation companies like Keymakr come in. Our job is to make custom data sets that directly impact your project, which leads to customized AI solutions. However, with the seemingly infinite growth of data in our world, it is becoming more difficult to know what data will help develop the solutions that you need. So, of course, collecting data is the first step. It then needs to be organized and structured for your particular problem. Otherwise, too general of an answer will be generated.
Keylabs Data Annotation platform release 1.75
How is important Split Object feature for data annotation platform?
With the 'Split Object' feature, you can pick an object and slice it at your current frame. From this point forward, the original object will be hidden, and a fresh one will take its place, preserving all the attributes of the pieces that were detached.
We hope it makes it even easier to control and manage your objects in a more flexible manner.
Must Read AI Articles of 2023 about Semantic Segmentation
Researchers produced AI papers on segmentation techniques at lightning speed in 2023. Reading them without Elon Musk’s Neuralink isn’t possible, so we’ll highlight a few worthy papers. These papers note AI face segmentation, object detection, and instance segmentation developments.
Segmentation is the process of breaking down an image into specific labels. A photo of a city street, for example, needs labeling for each pixel. It’s an important step for the machine vision we demand for autonomous driving. Without accurate AI segmentation data, we can’t expect safety from self-driving vehicles. We also need segmentation for AI image generation, plus other applications.
Another publications, worth reading:
Enjoy!