Computer Facial Modeling and Animation

The methods and processes for creating and animating images or models of a character's face fall under the umbrella of computer facial animation, which is essentially a branch of computer graphics.

• 3D Facial Modeling
• Texture Mapping
• Rigging
• Animation
• Rendering

Audiovisual Training

When instructional material is delivered and used in a way that includes both sound (auditory stimuli) and visual information, this type of learning is known as audio-visual (AV) learning (visual stimuli). With employees scattered across the globe, businesses need to ensure that there is a good level of communication between clients and employees, which has increased the demand for AV training. The following types of AVs are generally used for training purposes in common:

• Video Conferencing
• Interactive Technology
• Digital Signage

Computer Vision Applications

Leverage cutting-edge AI and deep learning technology to build computer vision applications that can automatically understand what the objects in the image are and where they are located. Image classification, object detection, image segmentation, object tracking and more.

Data Collection

Training ML models to interpret & comprehend the visual world requires large volumes of accurately labeled image and video data.

• Identifying Data Sources
• Data Acquisition
• Data Preprocessing

Data Annotation

From bounding boxes, semantic segmentation, polygons, and polylines to key point annotation we can help you with any image/video annotation technique.

• Bounding Boxes
• Semantic Segmentation
• Instance Segmentation
• Landmark & Polygon Annotation
• Text & 3D Annotation

AI Computer Vision Expertise

Image/Video Collection & Annotation Capabilities. From image/video collection to annotation object recognition and tracking to semantic segmentation and 3-D point cloud annotations, we bring a greater understanding of the visual world with detailed, accurately labeled images and videos to improve the performance of your computer vision models.

Computer Vision Datasets

Automobile focus image datasets, landmark image datasets, drone-based video datasets, food image datasets, facial recognition datasets and many more.

These datasets consist of large collections of labeled images, videos, or other visual data that can be used to train, validate, and test computer vision models. Access to numerous public and proprietary datasets, each focusing on different tasks or domains.