OBJECT DETECTION THROUGH DEEP LEARNING
INTRODUCTION:
Object Detection is a common computer vision problem that deals with the identification and the localization of object of certain classes in the image. The interpretation of object localization can be done in various ways, including creating a bounding box around the object or marking every pixel in the image which contains the object called segmentation.
Earlier Deep Learning was a several step process, which used to start with edge detection and feature extraction . After this the respective images were then compared with existing object templates, usually at multi scale levels, to detect and localize objects present in the image.
DIFFERENCE BETWEEN OBJECT DETECTION AND IMAGE CLASSIFICATION:
DEEP LEARNING:
It is an AI function that analyses the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions.
It has the ability to learn without human supervision, drawing from data that is both unstructured and unlabele
It is a subset of machine learning, can be used to ease the detection of fraud or money laundering, in addition to other functions.
GENERAL WORKING :
*Firstly, a model or an algorithm is used to generate regions of interest or region proposals. It requires a large region proposals and a large set of bounding boxes spanning the full image called as object localization component.
*Secondly, visual features are extracted for each of the bounding boxes, they are evaluated and it is determined whether and which objects are present in the proposals based on visual features (i.e. an object classification component).
*Finally after the processing step, the overlapped boxes are then combined into a single bounding box with minimum suppression.
APPLICATIONS OF OBJECT DETECTION:
1. Self-Driving Cars-It may use Object detection and recognition system to identify pedestrians and cars on the roads and then make the suitable decision in accordance.
2. Face Detection-Another application of Object detection and recognition is Face Detection .Ex- most of the security features now-a-days have face detection enabled service.
3. Medical Science- In this the object detection and recognition system helps Medical science to detect various forms of diseases. Ex- detection of various tumor and cancer cells.
4. Text Recognition- It deals with recognizing letters/symbols, individual words and series of words. Ex- recognizing the handwriting of a person.
. 5. Hand Gesture Recognition- It deals with recognition of hand poses, and sign languages.
SOURCES:
https://machinelearningmastery.com/object-recognition-with-deep-learning/
https://academy.ineuron.ai/machine-learning-masters.php
-RAGHVENDRA JHA