Get Your ML Training data to build better image, video, text and speech recognition with meaningful information that will be used to train and improve machine learning models.
At Statswork, our data scientists and consultant team design an end-to-end semantic data annotation and data labelling process through tagging for computer vision, pattern recognition, and machine learning solutions that empower high-powered A.I. and machine learning options such as convolution neural network.
The design of tasks that is planned well during both data collection and annotation is essential to machine learning models effectively learning and producing results that are consistent and reliable across settings and domains.
The best data will deliver the best AI. Quality annotation and thoughtful task design during data collection and data annotation ensures your models generalize accurately and perform well over several applications
More useful datasets mean cleaning, structuring and re-arranging takes away less time to train models. This increases development velocity and savings, while improving overall workflow efficiencies.
We help you think about custom annotation and how it will allow you to operationalize AI models that are force-multipliers for your specific domain or industry, or its context.
Accurate annotations let machine learning models better see patterns, identify entities, and generate outputs that are more reliable and accurate.
At Statswork, we offer robust data annotation services that are specifically designed for feeding your AI or machine learning model with every possible data type. Our experts in the relevant subject matter guarantee high quality, accurate and value-add annotation across a variety of datatype so that you will achieve the tailored results for your important work.
We offer accurate text annotations for natural language processing (NLP) tasks, such as named entity recognition (NER), sentiment analysis, intent classification, and part-of-speech tagging. We achieve zero language errors and meaning-consistent,
Through the accurate, scalable, and domain-specific data annotation and labelling services, we support AI and machine learning applications. Here’s how our capabilities are unique:
Our annotators have specialized knowledge within certain sectors such as healthcare, life sciences, pharma, autonomous vehicles, retail and finance which ensures we can provide a much greater level of quality with respect to context and accuracy for a sector like labelling.
We can build teams to meet the needs of any dataset, whether your dataset is small or enterprise dataset. We work with flexible engagement models, and we can scale teams as needed to meet any project deadlines and we don’t have to compromise quality.
Our team can configure and/or amend annotation processes to the needs of the work it is supporting – e.g. bounding boxes, named entity recognition, sentiment, speaker.
We offer high-accuracy annotation of medical images (e.g. X-rays, MRIs), clinical text, electronic health records (EHRs), and audio consultation files that enable diagnostic support tools, predictive analytics, and healthcare AI.
We annotate biomedical literature, clinical trials, lab reports, and research studies so that AI can enable drug discovery, drug safety, and drug regulatory compliance.
As planned the initial step is to gather the requirements for the project - project goals, data types, and specific information unique to the domain. Here we will scope the project, investigate the use case and desired formats of the annotation, so that we can establish standards and make sure we are aligned from day one.
Your raw data (text, image, audio or video) will be cleaned and anonymized (if necessary) and prepared before being annotated by our team to verify the accuracy for your project. We confirm that your data is formatted and structured appropriately to fit with your intended annotation guidelines and machine learning goals.
Consistency in the annotation process can only take place after setting up the guidelines based on your ultimate goals. We outline the structures of the labels, any metadata requirements, and create measures of quality based on the above - essentially standards to maintain quality.
Your project manager will be responsible for your team of dedicated and trained annotators to ensure your project is labelled to a high quality and delivered on time. Quality comes first and is at the heart of our practices, that means we continuously monitor performance throughout.
In addition to continually checking quality, and receiving client feedback and its iteration, we QA the annotations and enhance them. Each dataset receives our layered QA and achieves the accuracy rates needed for your high-performing AI models
At last, when your data clears all validation - it is ready for delivery, in whichever format you want (e.g., JSON, CSV, COCO). We are happy to help with future iterations or scaling
Statswork is a group of data scientists, domain experts, and annotation specialists who produce high-quality data annotation and labelling services which drive AI and machine learning initiatives in numerous sectors.
We have a strong background in clinical research, life sciences, healthcare, and advanced analytics, which allows us to be compliant, precise, and scalable on every project we touch. We take all the necessary measures to ensure quality and domain accuracy, which is why organizations of all types choose us as their data preparation service when they are looking for accurately labelled, ethically prepared data.
Thanks to the precise medical image annotation provided by the team, our AI model achieved clinical-grade accuracy. This directly contributed to our publication in the Journal of Medical Imaging and Health Informatics.
We were impressed by the team's expertise in clinical text annotation. Their work helped us build an NLP pipeline that led to our successful article in the International Journal of Medical Informatics.
The annotated dataset they delivered met all journal standards, and their adherence to HIPAA compliance was commendable. Our study was published in the BMC Medical Informatics and Decision-Making journal.
The Statswork team helped us annotate and label a massive dataset for drug discovery, contributing to our manuscript accepted in Frontiers in Pharmacology. Their scientific accuracy was outstanding
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Statswork is a pioneer statistical consulting company providing full assistance to researchers and scholars. Statswork offers expert consulting assistance and enhancing researchers by our distinct statistical process and communication throughout the research process with us.
