
Introduction to Object Detection
Humans can easily detect and identify objects present in an image. The human visual system is fast and…
July 15, 2021 · Rajil TLRajil TL is a SenseCentral contributor focused on tech, apps, tools, and product-building insights. He writes practical content for creators, founders, and learners—covering workflows, software strategies, and real-world implementation tips. His style is direct, structured, and action-oriented, often turning complex ideas into step-by-step guidance. He’s passionate about building useful digital products and sharing what works.

Humans can easily detect and identify objects present in an image. The human visual system is fast and…
July 15, 2021 · Rajil TL
Object Detection on Sample Test Image We will use the trained model to predict the respective classes and…
July 15, 2021 · Rajil TL
Tackling Multiple Detection Threshold Filtering The YOLO object detection algorithm will predict multiple overlapping bounding boxes for a…
July 15, 2021 · Rajil TLModel Architecture The YOLO model has the following architecture (see Fig 3). The network has 24 convolutional layers…
July 15, 2021 · Rajil TLDefining the Model Instead of building the model from scratch, we will be using a pre-trained network and…
July 15, 2021 · Rajil TLData Preprocessing Before, we get into building the various components of the object detection model, we will perform…
July 15, 2021 · Rajil TL· Natural Language Processing (NLP) is the branch of Artificial Intelligence and Computational Linguistics and helps in interaction between the…
July 15, 2021 · Rajil TL· In a reasoning system, there are several types of uncertainty. · Reasoning under uncertainty research in AI is focused…
July 15, 2021 · Rajil TL· The prepositional logic only deals with the facts, that may be true or false. · The first order logic…
July 15, 2021 · Rajil TLFacts are the general statements that may be either True or False. Thus, logic can be used to…
July 15, 2021 · Rajil TL