Semantic segmentation allows classification of image with pixel-wise annotation of objects making computer vision to localize the images with dense prediction. Semantic segmentation visualize multiple objects of the same class as a single entity and mainly used for the perception model training in natural environment objects.
Semantic image segmentation helps self-driving to improve the computer vision with more accurate pixels while recognizing the various objects on road. It is useful in critical information to ensure the safety of autonomous vehicles as it can provide the more precise information about the objects and traffic sings on the road.
Using the satellite imagery and drone recordings land cover information like monitoring of urbanization and deforestation is possible with image segmentation deep learning that helps to gather accurate information of such fields. It provides an advance image technique for agriculture reducing the manual monitoring of such large fields by humans.
A wide range of AI use cases can be achieved using data annotation & labeling. With nearly half a decade of industry experience, Anolytics claims to be a leader in data annotation & labeling services for various industries, from automobile to retail to e-commerce
As a leading data annotation and labeling expert with half a decade of industry exposure, Anolytics is a perfect choice for your AI training data needs.
Get the best-in-class quality services with highest accuracy level delivering an excellence in image annotation through multiple stages of auditing and reviewing of labeled data.
We are certified with SOC 2 TYPE 1 Company for maintaining the high standards of data security with privacy while working with our clients to ensure their confidentiality.
Working with hundreds of workforce to annotate pictures as per the demand providing a completely scalable solution with turnaround time to meet the different client’ needs.
Image annotation outsourcing to us means our clients get a cost-effective data labeling service helping them to minimize the cost of their project with best efficiency.
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