Understanding Object Detection
Object detection primarily aims to answer two critical questions about any image: “Which objects are present?” and “Where are these objects situated?” This process involves both object classification and localization:
- Classification: This step determines the category or type of one or more objects within the image, such as a dog, car, or tree.
- Localization: This involves accurately identifying and marking the position of an object in the image, typically using a bounding box to outline its location.
Key Components of Object Detection
1. Image Classification
Image classification assigns a label to an entire image based on its content. While it’s a crucial step in understanding visual data, it doesn’t provide information about the object’s location within the image.
2. Object Localization
Object localization goes a step further by not only identifying the object but also determining its position within the image. This involves drawing bounding boxes around the objects.
3. Object Detection
Object detection merges image classification and localization. It detects multiple objects in an image, assigns labels to them, and provides their locations through bounding boxes.
What is Object Detection in Computer Vision?
Now day Object Detection is very important for Computer vision domains, this concept(Object Detection) identifies and locates objects in images or videos. Object detection finds extensive applications across various sectors. The article aims to understand the fundamentals, of working, techniques, and applications of object detection.
In this article we are going to explore object detection with basic a , how its works and technique.
Table of Content
- Understanding Object Detection
- How Object Detection works?
- Techniques in Object Detection
- Traditional Computer Vision Techniques for Object Detection
- Deep Learning Methods for Object Detection
- Two-Stage Detectors for Object Detection
- 1. R-CNN (Regions with Convolutional Neural Networks)
- 2. Fast R-CNN
- 3. Faster R-CNN
- Single-Stage Detectors for Object Detection
- 1. SSD (Single Shot MultiBox Detector)
- 2. YOLO (You Only Look Once)
- Applications of Object Detection
- FAQs on Object Detection
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