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OpenCV 5.0

Open Source Computer Vision

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Section Navigation

  • Introduction
  • How to use pre-built OpenCV binaries
  • OpenCV Tutorials
  • Python Tutorials
  • Javascript Tutorials
  • Contrib Tutorials
  • Main modules
  • Extra modules
    • Alpha Matting
    • Improved Background-Foreground Segmentation Methods
    • Biologically inspired vision models and derivated tools
    • Ascend-accelerated Computer Vision
    • Custom Calibration Pattern for 3D reconstruction
    • 3D object recognition and pose estimation API
    • Operations on Matrices
    • Background Segmentation
    • Video Encoding/Decoding
    • Feature Detection and Description
    • Image Filtering
    • Image Processing
    • Legacy support
    • Object Detection
    • Optical Flow
    • Stereo Correspondence
    • Image Warping
    • Device layer
    • GUI for Interactive Visual Debugging of Computer Vision Programs
    • Framework for working with different datasets
      • Action Recognition
      • Face Recognition
      • Gesture Recognition
      • Human Pose Estimation
      • Image Registration
      • Image Segmentation
      • Multiview Stereo Matching
      • Object Recognition
      • Pedestrian Detection
      • SLAM
      • Super Resolution
      • Text Recognition
      • Tracking
      • Class cv::datasets::Dataset
      • Struct cv::datasets::Object
    • DNN used for object detection
    • DNN used for super resolution
    • Deformable Part-based Models
    • Face Analysis
    • Module-wrapper for FastCV hardware accelerated functions
    • Drawing UTF-8 strings with freetype/harfbuzz
    • Image processing based on fuzzy mathematics
    • Graph API
    • Hierarchical Data Format I/O routines
    • Hierarchical Feature Selection for Efficient Image Segmentation
    • The module brings implementations of different image hashing algorithms.
    • The module brings implementations of intensity transformation algorithms to adjust image contrast.
    • Julia bindings for OpenCV
    • Binary descriptors for lines extracted from an image
    • Machine Learning
    • Optical Flow Algorithms
    • OGRE 3D Visualiser
    • Phase Unwrapping API
    • Plot function for Mat data
    • Image Quality Analysis (IQA) API
    • silhouette based 3D object tracking
    • Image Registration
    • RGB-Depth Processing
    • Saliency API
    • Structure From Motion
    • Shape Distance and Matching
    • Signal Processing
    • Structured Light API
    • Super Resolution
    • Surface Matching
    • Scene Text Detection and Recognition
    • Tracking API
    • Video Stabilization
    • 3D Visualizer
    • WeChat QR code detector for detecting and parsing QR code.
    • Extra 2D Features Framework
    • Extended Image Processing
    • Object Detection
    • Additional photo processing algorithms
    • Extra Stereo Correspondance Algorithms
  • Frequently Asked Questions
  • Bibliography
  • Extra modules
  • Framework for working with different datasets
  • Struct cv::datasets::Object

Struct cv::datasets::Object#

#include <opencv2/datasets/dataset.hpp>

Collaboration diagram for cv::datasets::Object:

cv::datasets::Object Node1 cv::datasets::Object    

cv::datasets::Object Node1 cv::datasets::Object    

Source file#

The documentation for this struct was generated from the following file:

  • opencv2/datasets/dataset.hpp

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Class cv::datasets::Dataset

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DNN used for object detection

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