Image Annotation Services

We propose image annotation services from 3 different delivery centers with scalable, secure and very economical solutions.

For image annotation services we are using a mix between automation and human annotators to proceed your project in a very fast turnaround time from our center in Bulgaria, Madagascar and Egypt. We can proceed VERY large scale projects.

Oworkers » image annotation services

The different types of IMAGES ANNOTATIONS we proceed

What Are Image Annotation Services?

Image annotation services involve enriching images with metadata – such as labels, markings, or tags – that identify and classify visual elements.

In today’s AI-driven landscape, the quality of training data directly determines computer vision model performance.

Our multilingual image annotation services provide the human touch necessary to create datasets that enable machines to “see” and interpret visual information accurately.

This is why choosing the right image annotation companies can make all the difference in your AI development journey.

Bounding Box Annotation

Our image annotation experts utilize bounding boxes to precisely identify and locate target objects in images. This technique is ideal for object tracking and detection across various applications, including autonomous vehicles and food system optimization.

Accurate Placement: Achieve precise placement with just two clicks using crosshair lines.
State Tracking: Effectively manage occlusion, truncation, and overlapping objects through state tracking.
Customization: Create custom classes, define multiple attributes per instance, and establish hierarchical relationships.
ML Assistance: Enhance object tracking with ML Assist for faster and higher-quality annotations.
Interpolation: Leverage ML-assisted or linear interpolation between frames for efficient annotation.

Keypoint annotation

Our team utilizes keypoint annotation, a technique for accurately identifying and tracking specific landmark locations and orientations on an image or video. This method is particularly effective for:

Tracking the movement of individual objects.
Detecting facial landmarks.
Recognizing hand gestures.

Customizable Keypoint Shapes: Define and apply consistent patterns for annotating various elements like skeletons, hands, eyes, and other custom shapes.
Point-Based Landmark Identification: Precisely mark crucial features using point annotations.
Flexible Class and Attribute Handling: Supports the creation of custom classes, multiple attributes for each instance, and hierarchical relationships between them.
Linear Interpolation: Provides smooth and continuous tracking across video frames.

Polygon Annotation

Precise Object Localization and Detection through Polygon Annotation

Polygons enhance the accuracy of object detection algorithms in image annotation by providing precise object boundary definitions, ideal for applications like vehicle and crop identification.

ML-assisted auto-annotation for polygons.
Grouping and layering for managing similar objects efficiently.
Quick editing tools for easy point manipulation.
Customizable classes, multiple attributes per object, and hierarchical relationships.
Linear interpolation between frames for streamlined annotation.

3D Cuboid annotation

Oworkers Image Annotation Services

Accurately determine the depth and height of objects for applications such as vehicle and pedestrian detection, robot navigation, and interior design placement.

Utilize 2D and 3D cuboids for diverse applications.
Achieve highly precise 2D cuboids with our efficient three-click technology.
Benefit from support for custom classes, multiple attributes per instance, and hierarchical relationships.
Leverage linear interpolation for smoother annotation across video frames.

Line and Arrows annotation

Annotate straight or curved objects with precision.

Our services offer meticulous annotation of both straight and curved objects. lines and arrows annotation serve to emphasize key details for applications like object tracking and scene analysis. This is particularly valuable for interpreting lane markings, traffic flow, and identifying urban structures.

Clearly define object edges by outlining their boundaries with lines.
Emphasize directional cues using arrows.
Benefit from support for tailored classes, multiple attributes per object, and hierarchical relationships.
Leverage linear interpolation between frames for smooth tracking.

What Makes Image Annotation in AI
& Machine Learning So Important?

Image annotation services constitute the cornerstone of developing effective computer vision models. Without meticulously labeled data, AI algorithms cannot learn to identify objects, people, or situations accurately. These annotations directly impact AI performance in various applications:

Retail

Enabling visual search, automated inventory management, and customer behavior analysis. Well-annotated datasets allow retailers to implement sophisticated product recognition systems, optimize store layouts, and create personalized shopping experiences.

Security

Enhancing object detection, surveillance systems, and anomaly recognition. Quality annotations help security systems distinguish between normal activities and potential threats, reducing false alarms while ensuring actual security incidents receive immediate attention.

Autonomous vehicles

Training self-driving systems to recognize road features, pedestrians, and traffic signals. Precise annotation helps vehicles spot hazards, navigate complex environments, and make split-second decisions that ensure passenger safety and efficient transportation.

Healthcare

Supporting medical image analysis for disease detection, tumor identification, and diagnostic assistance. Annotations help medical AI systems mark subtle indicators of pathology that might be missed in routine screening.

Agriculture

Facilitating crop monitoring, pest detection, and automated harvesting. Annotated images enable smart farming systems to differentiate between crops and weeds, identify signs of disease or nutrient deficiency, and optimize resource allocation.

Unlike some image annotation companies that focus on quantity over quality, OWorkers prioritizes precision in every project, recognizing that accurate annotations form the foundation of successful AI implementation.

What Are the Different Types of Image Annotation Services for Computer Vision

Our multilingual image annotation services cover all major annotation techniques:

Bounding Box Annotation

Drawing rectangular boxes around objects of interest within images, forming the foundation for object detection applications like product recognition and surveillance systems.

Semantic Segmentation

Assigning class labels to every pixel in an image, crucial for applications requiring detailed understanding of image composition such as medical imaging and satellite imagery analysis.

Polygon Annotation

Creating precise outlines by connecting multiple points around irregularly shaped objects, essential for defining exact boundaries of objects with non-rectangular shapes.

Keypoint and Landmark Annotation

Marking specific points of interest on objects, such as facial landmarks or human pose joints, critical for facial recognition and motion-tracking systems.

3D Cuboid Annotation

Creating three-dimensional boxes that provide critical depth information for autonomous vehicles and robotics applications requiring spatial awareness.

Image Classification and Labeling

Assigning descriptive tags or categories to entire images, supporting basic image recognition models and content organization systems.