BeetSoft offers video annotation services covering all annotation projects, including bounding box annotation, polygon annotation, keypoint annotation, and semantic segmentation. Our team collaborates closely with clients to ensure the quality and efficiency of the job, delivering the best cost-quality ratio through iterative improvements. We suggest running a sample batch to clarify instructions, address edge cases, and estimate task durations before proceeding with full batches.
BOUNDING BOXES
Rectangular box annotation is the most commonly used type of video annotation in computer vision. BeetSoft's computer vision experts utilize this method to depict objects and generate training data, enabling applications and algorithms to identify and localize objects during machine learning processes.
POLYGON ANNOTATION
Expert annotators at BeetSoft mark points on each vertex of the target object. Polygon annotation enables precise annotation of all edges of the object, regardless of shape.
SEMANTIC SEGMENTATION
Videos are segmented into component parts by the BeetSoft team and subsequently annotated. BeetSoft's computer vision experts meticulously examine video frames and classify objects pixel by pixel.
KEYPOINT ANNOTATION
BeetSoft teams outline objects and variations in shape by connecting individual points across objects. This annotation method is adept at detecting body features and may encompass facial expressions and emotions.
LANDMARK ANNOTATION
When annotating video footage, BeetSoft experts utilize points on landmarks and people's faces. Meticulously conducted landmark annotation produces valuable training datasets for computer vision models that perform exceptionally well.
3D CUBOID ANNOTATION
BeetSoft experts conduct object tracking by enclosing objects with cubes. This enables systems to discern the length, width, and height of a given object.
POLYLINE ANNOTATION
BeetSoft experts generate training datasets utilizing polyline annotation, instructing models to recognize physical boundaries for operational guidance.
RAPID ANNOTATION
BeetSoft's video annotation platform employs video interpolation to swiftly annotate suitable video footage. Our annotation experts craft top-tier video training datasets efficiently, catering to any AI or ML project.
Autonomous Technology & Transportation
Video annotation services play a crucial role in advancing autonomous technology by detecting objects such as signboards, signals, vehicles, street lights, and other elements on the road.
Medical AI
Video annotation in healthcare supports pharmaceutical companies, device manufacturers, and healthcare provider networks in delivering quality services through machine learning applications.
Geospatial technology
Video annotation tasks involve extracting valuable insights from satellite, aerial, and drone footage to fuel applications in energy, agriculture, logistics, security, and mapping.
Government
Video annotation aids authorities in employing facial recognition technology to identify criminals by applying keypoint annotation to faces extracted from public footage.
Manufacturing
Video annotation enhances manufacturing efficiency by boosting the productivity of industrial robots. These perceptive robots can identify defective items during production or potential manufacturing issues, thereby improving overall operational effectiveness.
Commerce
Utilize video annotation to comprehend consumer behaviors in stores, thereby enhancing retail revenue. Analyze and track consumer interactions with shelves and employ object tracking to automate mask identification, thereby optimizing store operations.
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VIDEO DATA POINTS ANNOTATED
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ACCURACY
GETTING STARTED!
The demand for high-quality video annotation delivered swiftly is paramount. BeetSoft integrates top-notch predictive and automated annotation technology with world-class data annotation experts and subject matter experts to provide the data necessary for rapid production deployment.