AI Terminology
AI Terminology
AI Terminology
AI Terminology

Object Detector 
An object detector is a computer vision algorithm or model that identifies and localizes specific objects within an image or video. It can detect multiple objects simultaneously by drawing bounding boxes around them.  

A classifier is a computer vision algorithm or model that categorizes input data into different classes or categories based on predefined criteria or features. 

Large Language Model (LLM)
A large language model (LLM) is a powerful artificial intelligence model that is trained on a large amount of text data to generate human-like text responses. LLMs can understand and generate coherent and contextually relevant text, making them useful for various natural language processing tasks.  

AI Model Training 
AI model training refers to the process of training and optimizing an artificial intelligence model using a datasets. During training, the model learns patterns, features, and relationships within the data to make accurate predictions or generate desired outputs.  

AI Model Inference 
AI model inference is the process of using a trained artificial intelligence model to make predictions or generate outputs based on new, unseen data. Inference typically involves applying the trained model to input data and obtaining the corresponding output or prediction.  

Bounding Box
A bounding box is a rectangular region that encloses or bounds an object within an image or video. It is commonly used in object detection tasks to visually represent the location and size of detected objects

Model Confidence
Model confidence refers to the level of certainty or trustworthiness associated with the predictions or outputs generated by an AI model. It indicates the model’s belief in the correctness or accuracy of its predictions.  

Model Accuracy
Model accuracy is a measure of how well an AI model performs on a given task. It represents the percentage of correct predictions or outputs compared to the total number of predictions made. Higher accuracy indicates better performance.  

Computer Vision
Computer vision is a field of artificial intelligence that focuses on enabling computers to gain a high-level understanding of visual data, such as images and videos. It involves the development of algorithms and models to analyze, interpret, and extract meaningful information from visual inputs.