Computer Vision Datasets for Object Detection in AI & Machine Learning
To understand the scenario around the world, machines use computer vision technology. And AI models developed through machine learning needs a huge volume of computer vision training data to detect, identify, classify and track the various objects. Cogito is adept at generating high-quality training datasets for machine learning-based AI models developed through computer vision.
Computer Vision for Object Detection
Computer vision (CV) technology is used to detect the objects visible in an image or video. And to make such objects detectable to computer vision the most popular image annotation technique – bounding box annotation is used. This helps to locate the objects are placed in a given scene. Object detection is different from object recognition which only assigns a label to an image.
Computer Vision for Object Tracking
Object tracking is another discipline within computer vision that aims to track objects moving in the videos. Here, objects mean usually people, animals, vehicles and other objects of interest visible in natural surroundings. Bounding box annotation drawing frame-by-frame on moving object in the videos helps computer vision-based machines to track the various moving objects.
Data Annotation for Computer Vision
From object detection to tracking for computer vision, everything is possible for a machine with data annotation services offered by Cogito. We are providing greater inputs for a better understanding of the visual world with detailed and precisely annotated images and videos to improve the performance of your computer vision model.
Image Annotation Solution
With wide-ranging and most popular data labeling techniques, Cogito is providing a complete image annotation solution to produce data sets for computer vision training. We are rendering advanced and intuitive image annotation services for all types of computer vision-based AI model developments such as self-driving cars, drones, AI security cameras and robotics etc.
Video Annotation Solution
Make your AI model capable enough to track the moving objects in the video with clear-cut video datasets. Our video annotation enables in-depth visual perception for autonomous vehicles, drones, and robots. Cogito is using AI-powered tools to convert your video into a sequence of images and produce high-quality training data for machine leering models.
Image Annotation Types & Techniques for Computer Vision
Bounding Box
Drawing a box to capture the object of interest in an image or video making it recognizable for CV.
3D Cuboid
Making the third dimension of an object recognizable with 3D cuboid bounding box annotation.
Polygon
Polygon annotations for objects are more irregular shapes, and we draw precisely with contours.
Landmarking
Making facial recognition possible with key point landmark annotation for human expressions.
Polyline
Polyline, line and spline annotation to detect the lane and path on the road for self-driving cars.
Semantic
Semantic segmentation annotation to classify, localize, detect and segment single class objects.
LIDAR 3D Point
Precisely drawing the 3D point cloud annotation for LIDARs 3D object tracking with 2D mapping.
Other Annotations
Any kind of customized image annotation for varied objects in diverse fields for computer vision.
Computer Vision Use Cases
The application of computer vision in AI is now spread into a wide-range of industries and sub-fields. We are providing a one-stop solution for all types of businesses seeking high-quality datasets for computer vision for the areas like healthcare, retail, agro, and many more cited below.
Automotive
Self-driving cars to automated manufacturing in automotive computer vision needs.
Medical
AI-based medical imaging analysis for the precise diagnostic is possible with computer vision.
Retail
Retail and E-commerce industries are using computer vision for a better shopping experience.
Agriculture
Computer vision in robotics & drones helping farmers for more precise agriculture and farming.
Robotics
Without computer vision, training in AI robotics can’t perform crucial tasks like material handling.
Security Surveillance
AI in security cameras to monitor unusual activities with 24-hour surveillance for better safety.
Autonomous Flying
Drones with computer vision providing an aerial view of wide-ranging areas and other activities.
Media & News
AI-based computer vision is playing a big role in the media and news industry for better reporting.
Computer Vision Training Datasets for Machine Learning & Deep Learning
Computer vision in artificial intelligence is playing a crucial role in detecting and tracking numerous objects. Computer vision for autonomous vehicles helps recognize the objects that came across the street. And to detect such objects various data annotation techniques are used. Image annotation and video annotation generates the right training data for computer vision in AI.