Computer Vision Training Data Solutions
Training data for computer vision that allows machines to think, see, observe, understand, and automate monitoring & surveillance applications to detect, analyze, and interpret digital images, videos, and other visual inputs — and make appropriate recommendations or actions.
Contact Us Now
Enabling AI Models to Capture Data
As a leader in AI data, Cogito can provide industries with training data for computer vision applications that detect and classify objects, recognize features and actions, and identify patterns and positions. Cogito combines manual and AI methods to provide clients with computer vision training data tailored to their models.
Computer Vision Training Datasets for Object Detection
COCO
COCO is a large-scale dataset that contains over 330K images and 2.5 million object instances. It is a diverse dataset that covers a wide range of objects and scenes.
PASCAL VOC
PASCAL VOC designed for image classification and object recognition tasks. It is also used for object detection tasks, particularly for the development of object detection models for real-world applications.
ImageNet
Created for image classification tasks. However, it has also been used for object detection tasks, particularly for fine-tuning object detection models.
Open Images
Large-scale dataset that contains over 9 million images and over 600K object instances. It is a diverse dataset that covers a wide range of objects and scenes, making it a popular choice for object detection tasks.
Our Experts Provide Quality Data Annotation
As a Computer Vision Data Annotation expert, Cogito promises quality without compromising on quantity or date of delivery of output. We guarantee to provide data annotations for computer vision projects meeting global quality standards.
Some of the key skills and responsibilities of computer vision training data experts might include:
- Understanding the requirements of computer vision models & how to create training data to meet these needs.
- Familiarity with image annotation tools and techniques, such as bounding boxes, semantic segmentation, and object detection.
- Knowledge of computer vision algorithms and deep learning techniques.
- Ability to curate and clean large datasets, ensuring the data is accurate and relevant for training.
- Experience with data augmentation techniques to increase the size and diversity of the training data.
Computer Vision Annotation Tools & Techniques
Image Annotation
Using image annotation to train, validate, and test machine learning algorithms with well-processed training data to embed AI-enabled vision..
Video Annotation
Launch your AI project successfully with well-refined video training data (frame-by-frame) that is accurately annotated & labeled..
3D Point Cloud Annotation
Accelerate Ai integration into machine learning models with high-quality data labeling. We can validate labels, flag issues, and..
AI Assisted Labeling
Expedite your AI projects with a robust semi-automated labeling approach that facilitates annotators with enhanced time and effort to reduce errors..
ML Model Validation
Make your AI project a success with ML Model Validation techniques which check, validate, and rectify errors to fine-tune data sets thoroughly..
Realtime Annotation Workflows
A concurrent labeling task distribution and queue system in the loop with production applications. Realtime annotation for enriching your data..
Last Mile Automation
Using AI in drones or robots to automate your last-mile operations will ensure your customers receive their products on time and in excellent..
Time Series Data Labeling
Expedite AI machinery and production operations like fault detection and usage-based pricing with the help of real-time analytics of data collected..
Computer Vision Data Annotation Use Cases
Object Detection and Recognition
Self-driving cars, surveillance systems, and augmented reality.
Image Processing and Editing
Removing backgrounds, improving image quality, and stylizing images.
Facial Recognition
Security systems, social media, and human-computer interaction.
Medical Imaging
Analyze medical images such as X-rays, CT scans, and MRI scans, to assist with diagnosis and treatment planning.
Video Surveillance
Analyze video streams in real-time, detecting and alerting security personnel to potential threats.
Robotics
Computer vision is critical for robots to perceive their environment and perform tasks such as navigation, object recognition, and manipulation.
Augmented Reality
Augmented reality applications use computer vision techniques to superimpose digital information onto the real world, creating an immersive experience for users.
Drones
Tasks such as object recognition, navigation, and mapping.
Retail and Advertising
Analyze customer behavior and preferences, improving personalized recommendations and targeted advertising.
Why Cogito?
11 Years of Experience
Expertise of Experts
Flexible Payment Plan
