Labeling training data acts as the first step in the machine learning development cycle under Computer Vision. Consider we need to train a machine learning model to identify a specified category of objects from the collection of data. We would need to collect representation data samples which have to be classified and analyzed along with a Machine Learning algorithm for handling each sample.
As an initial step after receiving these resources along with service confirmation, our ML engineers shall start annotating items in the dataset according to the instructions provided. On completion of labeling, the dataset can be exported and used in further machine learning development. Our labeling services shall replace the manual annotation process with automation via a user-friendly interface that eases the annotation and parameter defining process.
Solution allows you to categorize any dataset (image/videos) along with tagging to customizable classification.
Make faster and accurate image segmentation to support specific use case including instances, custom attributes, etc.
Automate identification process using tools such as box, polygon, point and line to construct a predictable pattern of high-quality training data which trains ML powered computer vision system on finding or identifying objects in image and video data.
5 step process: How it works?
We have a team of skilled Data Processing Executives (DPE) who are expertise in handling and processing data along with segmenting and labeling.
Top 6 Best Tools for Machine Learning Projects – DataLabeling
Labeling typically takes a set of unlabeled data and augments each piece of it with informative tags. This article talks about the top 6 best tools for data labeling services. A must-read!
Data Labeling Service for Machine Learning
Data Labeling Service – an AI Platform which allows us to generate accurate and high-quality labels using Machine learning models on the collection of data.