Data Collection & Synthetic Generation for AI/ML
Data Collection
More Data,
More Possibilities.
More Possibilities.
Scale Your Model Development
The Power of High-Quality Collected Data.
Let Innodata source and collect speech, audio, image, video, text, and document data for AI and ML model development. With all languages supported across the globe and customized data collection offerings to meet any industry domain need, we’re a one-stop-shop for all your training data needs.
Train AI with confidence and accuracy.
Customized Data Collection for AI Model Training
Text & Document
Image & Video
Audio & Speech
Text & Document
Text and Document Data Collection Services
Innodata’s text and document data collection services provide high-quality and diverse data sets for AI model training from various sources and domains, such as social media, news articles, reviews, contracts, invoices, and more. Customized to meet your specific needs and requirements, such as language, format, style, tone, sentiment, etc., Innodata’s text and document data collection services can help you improve your AI models for natural language processing, text analysis, document understanding, and other applications.
- Receipts and Tickets
- Transcripts
- Utility Bills
- Financial Statements
- And more...
Image & Video
Image and Video Data Collection Services
Innodata’s image and video data collection services are essential for building and improving AI models that can recognize and understand visual content. Our services can provide high-quality and diverse datasets of images and videos collected to your specifications, and can be applied across various domains, such as face recognition, object detection, medical imaging, autonomous driving, and more.
- Street Traffic
- Facial Recognition
- Object Detection
- NSFW Content
- And more...
Audio & Speech
Audio Data Collection Services
Innodata’s audio data collection services provide high-quality and diverse audio and speech data for training AI models, such as voice assistants, text-to-speech, and speech recognition models. Our experts can collect data in multiple languages, dialects, demographics, speaker traits, dialogue types, environments, and scenarios. Improve the accuracy, flexibility, and scalability of your AI applications and systems with Innodata’s services today.
- Dialogue Streams
- Home Device Capture
- Studio Recordings
- And more...
Big Data, Big Results. We Gather What's Most Important to You.
The Innodata Process
01
Define Project Goals and Scope
Identify the specific business challenges, the expected results, the project duration, data types, the expected deliverables, and the available resources.
02
Collection Method
Your account executive will assist in planning the most suitable method for collecting or generating data for your project. Some of the common methods we utilize are human collection, web data aggregation, scripts, and media monitoring.
03
Define a Focus
This step involves deciding what kind of data is most relevant and important for the AI model training. Depending on the use case, you can focus on different aspects of the collected data, such as objects within visual data, environments in videos, speech traits in audio, or the real-life scenarios data is captured in.
04
Finalize Data Storage and Organization
Work with your account executive to determine how to store and organize the collected or generated data for AI model training. Depending on the use case, you can choose different output formats, such as CSV, JSON, XML, PDF, JPEG, PNG, BMP, WAV, MP3, OGG, MP4, AVI, MOV, etc.
05
Quality Assurance
Our team of data collection experts will perform quality assurance on the collected data by checking and verifying accuracy, completeness, consistency, validity of the data and removing any duplicates, outliers, errors, or noise. We use best practices, tools and techniques to ensure highest levels of QA.
06
Continued Monitoring and Adjustments
This step involves tracking and evaluating the performance of data in the AI model training and making adjustments to the data collection or the project requirements as needed. Innodata will work with you to revise the project charter to reflect any changes in the business problem, the expected result, the scope, or the timeline of your data collection initiatives.
Use Cases
Data Collection
Customer Success Stories
Data Extraction for Mergers & Acquisitions Analytics
On-Premise Data Collection for Automotive Claims Leader
