Accurate Data Annotation and Labeling Services

Data annotation and labeling are pivotal steps in training AI models, providing them with the accurate information they need to learn and make predictions. However, these tasks can be labor-intensive and time- consuming. ThinkTrends offers comprehensive support and labor services to relieve these challenges, streamlining your data annotation and labeling workflows.

Learn more about our annotation feature

Don’t Have Domain Expertise/Time to Label?
Let us take care of it.

We connect with subject matter experts in your domain to label your data accurately. Plus, we offer technical services to transform those annotations into powerful neural networks that seamlessly integrate with your infrastructure.

Annotations in ThinkTrends can be saved, shared with your team, and reused or modified in the future, saving your organization thousands of hours.

8000
+
Hours Saved
2000000
+
Files Annotated
65
%
Improved Predictions

Text Annotation

Whether it’s a Q/A help-desk, an intelligent task-scheduler or reviewing medical literature, high-quality annotations matter! Text labeling often requires a high domain level of expertise, especially in fields like biology and medicine.

We create comprehensive text annotations, word associations, and other annotations with the help of industry professionals.

Image and Video Annotation

We providethe most comprehensive image and video annotations in the industry. Through our seamless platform, images and video can be labeled, flagged, and captioned with surgical precision by our experienced team. These high-quality annotations, performed by our skilled staff, are used to teach the AI how to "see" and react effectively.

3D Annotation

3D files are highly domain-specific and exist in various formats, often making them challenging to annotate. At ThinkTrends, we offer professional 3D annotation services to overcome these challenges. Our technical staff can ingest and annotate 3D data in any format imaginable — CT scans, LIDAR, drones, autonomous vehicles — you name it!

Within minutes you can freely visualize and interact with massively large 3D areas or objects. Our cutting edge platform allows you to annotate tumors, landmarks, cars, buildings and anything else you may need to recognize from your 3D files.

Structured Data Annotation

We also label and tabulate data and spreadsheets. Our technical staff will work closely with you to understand the categories or numeric values you aim to predict. With ThinkTrends, you not only get accurate data annotation and labeling tools but also a comprehensive labor package that enhances every facet of your AI model's training.

Leveraging Generative AI

Generative AI possesses the potential to produce new data based on patterns it discerns from existing data. ThinkTrends team incorporates this advanced technology into its annotation and labeling support service -- driving efficiency, speed, and accuracy. Here's how we utilize the power of Generative AI.

Automated Data Generation
Our Generative AI models, such as Generative Adversarial Networks (GANs), can create new synthetic data examples that closely resemble your original data. This comes in particularly useful when labeled data is scarce or expensive to acquire.
Efficient Labeling
Generative AI at ThinkTrends can predict labels for unlabeled data based on patterns it has learned from labeled examples. This significantly reduces the amount of time and human labor required for data labeling, driving efficiency in your processes.
Data Augmentation
Our Generative AI augments existing datasets by creating variations of the existing data, enriching the dataset, and enhancing the robustness of the resulting models.
Anomaly Detection
Our Generative AI models are trained to recognize 'normal' data patterns, which can then be used to identify anomalies or outliers. This is extremely useful for tasks such as fraud detection or defect detection in quality control settings.
Semi-supervised Learning
For situations where only a small portion of data is labeled, ThinkTrends employs generative models in a semi- supervised learning context. These models are trained on both labeled and unlabeled data, maximizing the use of available information and improving the effectiveness of your models