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47 posts tagged with "no-code computer vision"

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· 5 min read
Sushmith Banoth

A-step-by-step-guide-on-how-to-build-an-AI-model-to-identify-rotten-fruits-using-no-code-computer-vision-tool-Navan-AI

Rotten fruits image classification is a task in computer vision that involves identifying whether a fruit in an image is fresh or rotten. This is typically accomplished using machine learning algorithms that are trained on a dataset of labeled images, where each image is annotated as either fresh or rotten.

· 6 min read
Sushmith Banoth

Vehicle type classification is the process of categorizing vehicles into different groups based on their design, functionality, and purpose. This classification is used in various industries, including transportation, automotive, and insurance, among others, to analyze data and make informed decisions. A-step-by-step-guide-on-how-to-build-a-vehicle-classification-AI-model-using-no-code-computer-vision-tool-Navan-AI

· 6 min read
Sushmith Banoth

Gesture classification using computer vision involves recognizing and categorizing hand or body movements captured by cameras as input, with the goal of inferring the intended gesture. This can be achieved through various techniques such as image processing, machine learning, and deep learning.

The process starts with capturing video or image data of the gestures, followed by preprocessing and feature extraction. After that, the features are fed into a machine-learning model that has been trained to recognize gestures, resulting in the classification of the input gesture. This technology has various applications in human-computer interaction, gaming, sign language recognition, and other fields.

A-step-by-step-guide-on-how-to-build-a-gesture-classification-AI-model-using-no-code-computer-vision-tool-Navan-AI

· 7 min read
Sushmith Banoth

Human emotion classification is the process of identifying and categorizing emotions in human expressions, human speech, or text. This can be done through various techniques, such as natural language processing, machine learning, and sentiment analysis.

The goal of emotion classification is to understand and interpret human emotions in order to improve communication, decision-making, and overall emotional intelligence. Common emotions that are classified include happiness, sadness, anger, fear, surprise, and neutral. A-step-by-step-guide-on-how-to-build-an-emotion-recognition-AI-model-using-no-code-computer-vision-tool-Navan-AI