Train your machine learning algorithms through labeled videos with added metadata to make the objects recognizable in picture-videos. We are an expert in labeling such videos using various techniques of Image annotation to capture each object in the video with frame-by-frame.
Video annotation will provide an in-depth visual perception to autonomous vehicles recognize the various types of objects like pedestrians, streetlights, sign boards, traffic lanes, signals, cyclists and vehicles moving on the road. Aventurine using video annotation tool provides frame annotation service to build ground truth AI model for self-driving.
Video annotation will provide an in-depth visual perception to autonomous vehicles recognize the various types of objects like pedestrians, streetlights, sign boards, traffic lanes, signals, cyclists and vehicles moving on the road. Aventurine using video annotation tool provides frame annotation service to build ground truth AI model for self-driving.
Video annotation will provide an in-depth visual perception to autonomous vehicles recognize the various types of objects like pedestrians, streetlights, sign boards, traffic lanes, signals, cyclists and vehicles moving on the road. Aventurine using video annotation tool provides frame annotation service to build ground truth AI model for self-driving.
In video annotation, images are annotated using various image annotation techniques. It can label certain part of the image to full segmentation, where every pixel is annotated with its semantic meaning helping computer vision model work with the highest quality. Aventurine works with video segmentation annotation for visual-based perception model.
In video annotation, images are annotated using various image annotation techniques. It can label certain part of the image to full segmentation, where every pixel is annotated with its semantic meaning helping computer vision model work with the highest quality. Aventurine works with video segmentation annotation for visual-based perception model.
As an experienced provider of data annotation services, we adhere to strict data protection and privacy requirements when providing data support for AI/ML models to ensure confidentiality.
Our professionals are experts at providing best-in-class quality data annotation services with the highest degree of accuracy across several auditing and evaluating data stages.
With a team of certified annotators, we can meet our client's needs by offering fully flexible solutions with a rapid turnaround time.
Attempting to resolve all of your IT issues internally can quickly become expensive and distracting. Leveraging knowledgeable IT consulting firms like us helps ensure that your company remains stable.
Aventurine is an excellent forum for obtaining high-quality training data sets for artificial intelligence cameras used in security surveillance systems. By primarily using bounding box image annotation to detect and recognize different objects and suspicious behavior.
Aventurine creates training data sets for artificial intelligence and machine learning applications in agriculture. Artificial intelligence applications in agriculture include semantic segmentation and polygon annotations for improved farming.
AI in manufacturing improves productivity and performance by automated assembly lines, quality control, predictive maintenance, and performing various tasks. To train robots capable of working in multiple industries, visual perception scenarios must be recognizable using computer vision training data.
Aventurine offers a Medical image annotation service for the healthcare sector using semantic segmentation and polygon image annotation for organ segmentation and disease diagnosis. In medical imaging, AI and machine learning are essential for studying and diagnosing a variety of acute diseases.
We are experienced professionals who understand that IT services is changing, and are true partners who care about your future business success.