Data Collection for AI and ML
We provide decision services to organizations and provide visibility for business stakeholders
Delivering high-quality AI training data, including text, image, audio, and video, to the world’s leading AI companies .
Delivering high-quality AI training data, including text, image, audio, and video, to the world’s leading AI companies .
The extent of usefulness and effectiveness of an AI model largely depends on the effort that you put into the quality of the training data. Industries use AI training data to train their MI models, as it trains the model to various scenarios and prepares it beforehand. Poor quality data will lead to an ineffective model and costs a significant amount to the organization.
Statswork team of experts manages a global workforce of data collectors to gather training data for your Machine Learning models. We can be able to access wide variety of data including data from different age groups, demographics, educational background and ethnicity.
Statswork Artificial Intelligence offers a world-class and reliable training data set to its clients. We offer audio training data set for speech recognition bots, high-quality video training data sets, handwritten and digital data sets across various languages, and image training.
Statswork is well equipped to leverage more out of your AI models. Our team of data science consultants are a highly qualified team of experts spread across the globe, and you can be assured of the quality and on-time delivery of your AI project. Our data scientists apply the best approach (e.g., data discovery, data augmentation and data generation) to find dataset that can be used to train ML models.
Statswork is well equipped to leverage more out of your AI models. Our team of data science consultants are a highly qualified team of experts spread across the globe, and you can be assured of the quality and on-time delivery of your AI project. Our data scientists apply the best approach (e.g., data discovery, data augmentation and data generation) to find dataset that can be used to train ML models.
How We Help
To build machine learning solutions capable of understanding the intricacies of human language, large quantities of structured text data is required. Gathering sufficient high quality NLP data is the first step in solving any language-based machine learning problems.
Your ML algorithms need a lot of datasets to effectively recognize pictures/images Real images. However, the image set that you require has to be a right volume and best match the requirements that is needed to carry out the training.
Statswork collects end-to-end speech data from high-quality studio recordings (acoustic based needs, wake-up rounds) to in-field Data collection across various languages, dialects, tones, pronunciations or any audio requirements from inside a car to a dinner party.
Video Data Collection
Predicting pedestrian pathways at intersections is crucial for human safety and has to be considered by many factors including-built environment, other people, and objects as a person is surrounded by weather, age, their trajectories and social behaviour. Accurate prediction of pedestrian path is key to designing a reliable system for tracking humans in a crowd.
Synthetic data with labels is being used more and more in ML because it’s cheap and flexible. Statswork synthetic data generation allows companies to generate unlimited synthetic data that is realistic and representative of real data that matches the behaviour, pattern and preferences of your original data set.
Data collection is part of research and development. Crowdsourcing data collection helps research companies, consulting firms, data analysts and other development experts to do more research and data collection.
Featured capabilities
Enhanced Visual Insight
Statswork’s image data collection services deliver high-resolution and contextually relevant visual data to power advanced AI and ML models. Our capabilities extend across various domains, including medical imaging, agricultural monitoring, and more, providing clear and detailed visuals that support accurate analysis and decision-making
High-Resolution Imagery and
Contextual Relevance.
Comprehensive Language Understanding
Our NLP data collection services are designed to build robust language models that can accurately process and understand human language. We combine qualitative insights with structured data to improve language comprehension and interaction.
Diverse Language and Data
Contextual Insights
Examples of Our Work
Hand X-Ray Data for Deep learning Image processing
Today, industries are now adopting the Internet of Things (IoT) based wearable technology, and these technologies pose grave privacy and security risk about the data transfer and the logging of data transactions. In healthcare, security and privacy threat are endangering the patient’s life.
At Statswork, our team of data science experts gathered client requirement in detail and developed a short protocol that details the problem statement and expected outcome. We also define each variable required for data collection.
At Statswork, our team of data science experts gathered client requirement in detail and developed a short protocol that details the problem statement and expected outcome. We also define each variable required for data collection.
Handwriting Data collection
At Statswork, we offer various handwriting data collection for OCR and handwriting recognition. Our datasets have handwritten samples from different demographics, languages and writing styles to provide comprehensive training data. We ensure data privacy and quality by working closely with clients, planning data collection and checking samples for clarity and consistency.
Facial Image Data Collection
we provide high quality facial image data for facial recognition and emotion detection. We ensure strict privacy and security. We collect diverse, high resolution images in different lighting and angles, covering different ethnicity, age and gender. Our data processing includes oversampling and integration to make the dataset more effective for AI applications.
Evaluation of algorithms
At Statswork we test and verify the effectiveness and reliability of AI and ML algorithms using large diverse datasets. We create secure test plans and use multiple methods to test the algorithm under different conditions. Our reports show key metrics like accuracy, precision and recall so you can see where to improve. We focus on data privacy and security to build robust AI and ML models for you.
HSI Brain Image Data Collection
we specialise in hyperspectral imaging (HSI) for brain research and medical analysis. Our HSI technology captures brain images across the full spectrum of light. This allows us to identify and classify different brain tissues – normal tissue, tumors, blood vessels. We use 3D Convolutional Neural Networks (3D CNNs) to process and analyse this complex data to improve diagnosis and treatment planning.
Dehazing Image Data collection
we dehaze images with our Image Data Collection Services. We collect hazy images from various environments – cities, countryside, mountains, beaches. Our datasets are used to train and test dehazing algorithms, with PSNR and SSIM metrics provided to evaluate image quality. We make sure your models are trained on high quality data for better clarity and accuracy in tough conditions.
Predicting Hospital Readmission
As value based care advances the CMS Hospital Readmission Reduction Program (HRRP punishes hospitals with high readmission rates. At Statswork we use advanced predictive modeling to identify patients at high risk of readmission by analyzing large amounts of patient data. This helps hospitals implement targeted interventions to improve patient outcomes and reduce readmission rates.
Acoustic Data Collection
Our Statswork team of data scientists collect acoustic data from low to very high decibel range so you have comprehensive datasets for training AI models for audio recognition, noise analysis and other sound based applications.
Natural Language Utterance Data Collection
Our StatsWork team of data science collect data based on the scenarios. Since no two users or customers might use the same words to initiate a similar request or query, our team facilitate natural language utterance.
Labeling and Annotation
At Statswork we know that accurate labeling and annotation is key to AI and ML model success. Our advanced labeling and annotation services ensure your data is correctly labeled and annotated so your AI applications work better.
Financial Data Collection
At Statswork we provide comprehensive financial data collection services for AI and ML applications in the financial sector. Our data collection is designed for predictive modeling, algorithmic trading, fraud detection and credit scoring
Agricultural Data Collection
At Statswork we have data collection services specifically designed for agriculture. Our solutions support precision agriculture, crop monitoring and agricultural forecasting through AI technologies. We ensure our data collection provides high resolution images and environmental data for your agricultural use cases.
Our Approaches
Comprehensive Data Gathering
At Statswork, we know that good data is essential for creating effective AI and ML models. We collect a wide range of data from various sources like online platforms, field surveys, and proprietary databases. This helps us gather diverse and representative data covering different ages, backgrounds, and locations. This variety ensures that our models are well-trained and reliable.
Customized Data Solutions
We understand that each project is unique. That’s why we tailor our data collection to fit your specific needs. Whether you need data from a particular place, time, or under certain conditions, we can adjust our approach to provide you with the most relevant data. Our team works closely with you to understand your precise needs and deliver data solutions that match your project’s objectives.
Advanced Data Processing
At Statswork, We make sure the data we collect is high-quality, we use advanced processing techniques. We clean the data to remove any errors or irrelevant information, standardize it to make it consistent, and use augmentation methods to add more variety. These steps help improve the data’s quality and make it more useful for training AI and ML models
Explore Our Industries
Technology
Healthcare
Retail
Automotive
Financial Service
Government