Annotation in 2D involves the tagging or labeling of objects, areas and points of interest within an image. This labeled data is vital for training AI and ml models used in object detection, classification, and other applications. Our experts ensure every bit of information is accurately marked, be it bounding boxes or polygons all through to keypoint or segmentation annotations. So, enabling your ai systems to operate effectively in real-world situations.
We offer precise speed combined with vast knowledge when it comes to providing top-quality 2d annotating solutions across diff. industries. Our team employs state-of-the-art annotation tools as well as techniques that can handle complex datasets while still maintaining high levels of accuracy. Having served various sectors such as healthcare, autonomous vehicles among others; we always align our service provision with what your project needs most so that you get reliable actionable insights from us.
Here one needs to annotate and identify objects within images which helps train AI models capable of recognizing them under various conditions thus facilitating their proper categorization later on.
This refers to labeling each pixel within an image so as to classify different objects, surfaces or regions hence being useful for tasks such as medical imaging or environmental monitoring.
Drawing bounding boxes around objects which are meant for detection and classification purposes in areas like autonomous driving cars, security systems or even retail analytics among others.
Creating detailed boundaries around irregular shapes thereby improving accuracy during object detection while also enhancing segmentation performance afterwards.
In this case important points on either an object’s surface or human face are marked out which may be utilized during facial recognition exercises; pose estimation algorithms development among many other potential applications including medical diagnosis assistance programs too.
We also have additional tailored annotation services that can cater for any unique use case requiring accurate labeling.
Since 2018, we have been trusted to provide highly reliable data to some of the biggest names in the AI industry.
We offer competitive pricing without compromising on quality.
Our team consists of highly skilled and trained annotators with extensive experience.
We guarantee the highest accuracy in our annotations to ensure the effectiveness of your AI models.
We prioritize the security and confidentiality of your data throughout the annotation process.
We can handle projects of any size, providing scalable solutions to meet your needs.
2D annotation involves labeling objects or features in two-dimensional images or video frames to train AI systems for tasks like object detection, classification, and segmentation.
2D annotation is crucial for computer vision tasks where machines need to recognize objects, boundaries, and actions in images or videos. It enhances the accuracy of AI models in applications like facial recognition and robotics.
2D annotation is performed by drawing bounding boxes, polygons, or lines around objects or regions of interest in a 2D image. These labeled elements help AI systems learn to identify similar patterns in new data.
It’s commonly used in autonomous vehicles, e-commerce for visual search, medical imaging, and augmented reality to enable machines to detect, classify, or segment objects in a 2D plane.
Challenges include accurately labeling objects in complex scenes, ensuring consistency across large datasets, and dealing with occlusions or overlapping objects, all of which require careful manual effort or advanced tools.
We are Expert Data Annotation pioneers in the realm of data labeling and annotation services. With a dedicated team of experts, we specialize in providing high-quality annotation solutions for a variety of data types, including text, images, videos, audio, sensor data, and 3D models. Our mission is to empower AI and machine learning models with precise and reliable data annotations that drive innovation and accuracy.