Image annotation, with enhanced artificial intelligence (AI) and machine learning (ML), makes the images recognizable for machines or computer vision by automatically assigning metadata. On an average, businesses spend 80% of their time on AI/ML projects in training data sets and labeling. Maxicus saves this precious time for organizations by providing high-quality human-powered data annotation services.
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Meeting the quality parameters requires accurate data tagging; even the slightest mistake can cost your business big time. Enterprises are falling short on maintaining a rich flow of labeled datasets to train computer vision models.
Generating high-quality labeled datasets requires proper tools and technologies. However, companies often fail to develop the infrastructure required for best-in-class data image annotation.
Incorrect tagging of critical or confidential data might leave it susceptible to leaks, which could be disastrous. A lack of process knowledge can lead to failures in complying with data privacy guidelines.
Managing a vast data labeling team is a massive task for enterprises, impacting quality, efficiency, and productivity. Investing in the training and management of a vast workforce can also become financially draining for an organization.
Training computer vision models to identify objects in an image by conducting precise object classification and localization.
Tagging the objects pixel-wise to create the semantic segmentation of images.
Labeling raw data for AI and ML models to precisely identify multiple objects in an image.
Enabling computer vision models to detect minor details, shapes, and variants by creating dots across the image.
We deliver a wide range of best-in-class image annotation services, trusted by leading global brands and Fortune 500 companies.
