Computer Vision & Classification

Confidently deploy highly accurate models to detect and track objects,
predict and plan behavior, classify videos and more.

Object Detection

Identify classes and track them frame by frame.

  • Object detection
  • Feature recognition
  • Pattern recognition

Classification detection

Locate and identify objects of various classes and track them frame by frame.

  • Product Identification
  • Automate Image Classification
  • Enhance Segmentation & Search Result

Video Analytics

Locate and identify objects of various classes and track them frame by frame.

  • Video Content Analysis
  • Tamper and Motion detection
  • Spatial Events Identification


Easy to Start, Optimize and Scale

EzappSolution delivers powerful Solutions to Optimize and Scale models you can trust while maximizing operational efficiency and reducing the cost of ML projects.Servicing Computer Vision in business applications to engage Customers for Shopping, User Experience and self driving automation.

# Opening image
img = cv2.imread("image.jpg")

# OpenCV opens images as BRG
# but we want it as RGB We'll
# also need a grayscale version
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

Ploygon Annotation

Our DataScience team performs labeling of the Images and outlines the exact shape of the target object to annotate polygons.

Semantic Segmentation

EzappSolution team segments multiple types of objects in images belonging to a single class at a pixel level. Classification performed using Methods for upsampling Fully convolutional networks Advanced U-Net variants Dilated convolutions.

Object Tracking

Object tracking experts at EzappSolution develop applications of deep learning where the program takes an initial set of object detections and develops a unique identification for each of the initial detections and then tracks the detected objects as they move around frames in a video, medical imaging, traffic flows and audience flows.

LIDAR Annotation

Lidar (Light Detection & Ranging) data is an essential sensor for geospatial technology, autonomous technology, and many other Business applications. Lidar annotation can be combined with image annotation to train computer vision and other deep learning models to perform a variety of tasks.

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