Data Engineering Services – Capture and Labelling
Get Actionable Insight with Right Data Solutions
Puzzled about how best to deal with large chunks of unstructured data to obtain meaningful insights? Seeking a trained workforce to organize a continuous stream of unlabeled data? KritiKal Solutions helps businesses across the globe tackle thousands of petabytes of data and become more productive. Our data engineering services with data capturing and data labeling expertise combine cutting edge AI-automation on a secure AI platform ensuring Security, Accuracy and Experience with a team of specialized data annotators and researchers to deal with complex use cases. Right from classifying common car logos and identifying celebrities in photos or videos to determining the gender of people in media and categorizing items in marketplaces – we do it all with a tailor-made software to bring effective results to drive the growth of your business.
Camera Selection & Illumination Consulting
At industrial level, companies require different types of specialized cameras and KritiKal helps companies in getting those cameras to build a complete solutions for different types of computer vision usecases.
Meta-data Creation & Defining the Input / Output Type
Metadata is the useful information captured and collected from images – saved for future use in analytics, segmentation, etc. KritiKal helps in creating metadata to ensure brief records of large datasets to ensure there is no chance of discrepancies and also for further use. We automate the metadata creation work and also include the human-in-the-loop mechanism to ensure utmost accuracy.
Data Collection & Preparation
Data Collection & Preparation is an important step towards getting accurate results in Computer Vision. It starts with gathering, cleaning, labeling data for further training of models & analysis. Our team carries out data collection process for many of its usecases, which includes data augmentation, collecting data from multiple sources, handling inconsistent data.
Data Tagging & Annotation
Data tagging and annotation play a crucial role in deriving high-quality human-labeled training data for a variety of business applications at scale. We here at KritiKal help businesses equip their computer vision models with high-quality labeled data, which is accurately tagged by our data tagging and annotation experts.
The discrepancy comes when data is incomplete, inconsistent and/or distorted in certain behaviors or trends. Data Preprocessing aids in resolving unwanted conflicts in data for further processing. At KritiKal, we employ various image pre-processing techniques not only to remove unwanted distortions but also enhance data according to usecase and required format so that specific features get enhanced for various computer vision applications.
The validity checks are essential to ensure correctness of data which eventually leads to a proper functioning of a computer vision system. We do data filtering before feeding it to the network to avoid inaccurate results. At KritiKal, we maintain proper validity checking system in place for data-intensive applications to check whether all data are correct before processing and no errors are encountered.
Community Tools Supported
The Computer Vision & Image Processing practice at KritiKal comprises of experts who have worked on various open source and proprietary business intelligence tools, some of which are outlined below: