Image annotation
Image Annotation

Locate and precisely identify objects with the location, depth, and height of various classes.

Image data annotation involves labeling and categorizing objects within images to make them more useful for machine learning and other AI-based applications. This process is critical for the development of computer vision and image recognition systems and is crucial for the training of machine learning algorithms. We at Dodeed AI end-to-end data labeling services paired with full-time data annotation experts deliver high-quality, error-free, human-labeled, and cost-effective image training data.

Bounding box

Bounding Box 2D

USE CASES-

  • Autonomous Vehicle and License Plate Identification
  • Damage and Defect Detection, Anomaly Detection
  • Product Identification
  • ID Verification
  • Object Localization

Polygon

USE CASES-

  • Detect irregular shapes like pedestrians or bikes in a street scene
  • Getting precise building footprints
  • Detect irregular shapes of products in manufacturing
  • Monitoring the growth of plants in Agriculture
  • Outlining the anatomy of internal organs on CT scans in Healthcare
  • and more..

Polygon annotations

Cuboid

  • Depth and Height Detection
  • Localize Objects for Manufacturing
  • Robotics Automation
  • AR/VR Object Recognition
  • Detect Obstacle Dimensions

Image annotation portfolio

Total Image

8 M+

Project

42

Country

8

Returning client

94%

Ellipse

Ellipse

USE CASES-

  • Harvesting crops in Agriculture
  • Face & Emotion detection
  • Detecting consumer actions
  • Detecting hand gestures of manufacturing workers
  • Tracking the movement of livestock

Keypoints

USE CASES-

  • Tracking instruments in robotic
  • Face & Emotion detection
  • Detecting consumer actions
  • Detecting hand gestures of manufacturing workers
  • Tracking the movement of livestock

Keypoint annotations
Semantic segmentation

Semantic Segemntation

USE CASES-

  • Monitoring areas on satellite imagery
  • Recognize objects in the image in pixel level
  • Step and Crop Annotation for Agriculture
  • Clothing Segemntation & Categorization in Retail
  • Pixel-wise objects track for automotive
  • Floor plan for real estate

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