Supervised
Fine-Tuning Data

Data collection in AI involves gathering diverse and high-quality datasets such as image, audio, text, and sensor data. These datasets are essential for training AI and machine learning (ML) models to perform tasks like speech recognition, document processing, and image classification. Reliable AI data collection ensures robust model development and better outcomes.

Innodata provides comprehensive data collection services tailored to your AI needs, including:

• Image data collection
• Video data collection
• Speech and audio data collection
• Text and document collection
• LiDAR data collection
• Sensor data collection
• And more…

Synthetic data generation creates statistically accurate, artificial datasets that mirror real-world data. This is especially beneficial when access to real-world data is limited or sensitive. Synthetic data helps with:

• Data augmentation to expand existing datasets.
• Privacy compliance by generating non-identifiable replicas of sensitive data.
• Generative AI applications requiring unique or rare scenarios.
• And more…

Innodata offers synthetic training data tailored to your specific needs. Our solutions include:

• Synthetic text generation for NLP models.
• Synthetic data augmentation for enriching datasets with diverse scenarios.
• Custom synthetic data creation for unique edge cases or restricted domains.
• And more…

These services enable efficient AI data generation while maintaining quality and compliance.

Innodata’s data collection and synthetic data solutions support various industries, such as:

• Healthcare for medical document and speech data collection.
• Finance for document collection, including invoices and bank statements.
• Retail for image data collection, such as product images.
• Autonomous vehicles for LiDAR data collection and sensor data.
• And more…