Computer Vision Annotation Tool (CVAT) is an open-source web-based application used for image and video annotation. It allows users to annotate images and videos with various labels such as bounding boxes, polygons, and polylines. CVAT is widely used in machine learning projects as it helps to create high-quality training datasets for various computer vision tasks such as object detection, instance segmentation, and activity recognition.
At ML Labeling, we provide professional CVAT annotation services to help our clients obtain high-quality annotated datasets for their machine learning projects. Our team of experienced annotators can accurately label images and videos using CVAT tools, ensuring that each annotation meets the client’s specific requirements. With our expertise in CVAT annotation, we can help our clients to streamline their machine learning workflows, save time and resources, and achieve their project goals faster.
Our team of annotators are highly skilled in CVAT annotation and have experience in various industries.
We ensure that all annotations are accurate, consistent, and meet your project requirements.
We use the latest annotation tools and techniques to deliver your project on time and within budget.
We can handle projects of any size and provide customized solutions to meet your specific needs.
We prioritize data security and confidentiality, ensuring that your data is safe with us.
We provide CVAT Annotation services for efficient annotation of images and videos for machine learning tasks. This format includes a wide range of annotation tools, such as bounding boxes, polygons, and key points, that enable the annotation of various types of objects, including vehicles, humans, and animals
Our experts annotate images for object detection, segmentation, classification, and more. We use CVAT’s advanced annotation tools to ensure accurate and consistent annotations.
We annotate videos for object tracking, action recognition, and more. Our team can handle large-scale video annotation projects with ease.
We annotate audio data, including speech recognition and speaker identification, to help with voice-enabled applications and transcription tasks.
We annotate 3D point cloud data from LIDAR scans, which is useful for tasks such as object detection and localization in autonomous driving and robotics.
We label each instance of an object in an image or video frame, which can help in tasks such as object tracking and video analysis.
We provide point annotation services for keypoint detection tasks such as facial landmark detection, hand pose estimation, and more.
Contact us today to learn more about our CVAT annotation services and how we can help you with your machine learning and AI projects.
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We annotate your images or videos with descriptive captions to help improve the performance of your machine learning models.