Introduction
With unwavering focus and attention to detail, we analyze each image to ensure that every pixel is flawlessly covered, guaranteeing the highest level of precision in our work. With our extensive expertise in Image Annotation, we empower our customers to leverage the annotated data efficiently and effectively. We provide output files in any desired format, catering to specific needs. By leveraging this data for AI/ML model training, unlock exceptional insights and predictions, encompassing objects and faces within your images. Maximize your potential with our unrivaled precision and expertise.
Types of Image Annotations
2D Bounding
Box
We excel in creating precise bounding boxes around objects, ensuring full coverage of edges for accurate identification and classification. By defining the boundaries, we enable seamless object recognition and provide the correct class attribution. With our expertise and experience across industries such as automotive, sports, and security, we are well-equipped to meet your specific annotation need.
Cuboid
Annotation
Cuboid annotation expands annotations into the third dimension, creating a rectangular prism that fully encapsulates objects. This data is invaluable for precise object localization and tracking, benefiting industries like autonomous driving, robotics, and augmented reality. By accurately capturing object size, orientation, and position in 3D space, cuboid annotation significantly enhances AI/ML models' performance across diverse sectors.
Polygon
Annotation
Polygon annotation involves outlining and marking object boundaries in images or videos using interconnected points, creating precise shapes for irregular objects. This annotation technique is crucial for tasks like object recognition and segmentation in industries such as healthcare, retail, and autonomous vehicles.
Key-Point or Landmark
Annotation
Key-point or landmark annotation is crucial for applications like pose estimation, facial recognition, and object tracking. With precise annotations, our AI/ML models analyze spatial relationships, benefiting healthcare, sports, and robotics industries. Our experienced annotators accurately plot points, ensuring highly accurate results to train machines in recognizing smaller objects and their attributes effectively.
Polyline &
Spline Annotation
Polyline or spline annotation accurately outlines object contours by creating annotation through connected points. This technique is ideal for objects with intricate shapes. Our precise annotations empower AI/ML models to excel in tasks like object segmentation and shape analysis, providing valuable insights for industries such as manufacturing, architecture, and virtual reality.
FSL and Semantic
Segmentation
Semantic segmentation is a powerful computer vision technique that assigns semantic labels to each pixel in an image, aiding in precise object segmentation and scene understanding. By categorizing pixels into meaningful segments, such as objects and backgrounds, this technique supports diverse applications like autonomous driving, object recognition, image editing, and augmented reality, fostering innovation across industries.
Panoptic Segmentation
By seamlessly integrating instance segmentation and semantic segmentation, we label and segment every pixel in an image. With panoptic segmentation, uncover a comprehensive understanding of your images, enabling unmatched analysis and applications in autonomous driving, robotics, scene understanding, and more.
LiDAR
Annotation
TBD - Light Detection & Ranging is a remote sensing method that uses light in the form of a pulsed laser to measure ranges & is used by many self-driving vehicles to sense the surroundings. We annotate 3D data collected by LIDAR cameras in the form of light points.
Pose
Estimation
TBD - Used in a series of images, this technique detects & tracks facial features, expressions, emotions, body parts & poses. This is done by looking at a combination of the pose and the orientation of a given person / object.
Case Studies
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