What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

AI content creation tools like Google’s new Omni model threaten to make reality even harder to discern from AI fantasy, but YouTube is taking an important step toward verifying video origins. After ...

What is pre-trained Model? A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model ...

TensorFlow is an open-source machine learning framework developed by Google for numerical computation and building mach Model Garden contains a collection of state-of-the-art vision models, ...

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...

The tuning of a pre-trained model is a crucial application for transfer learning in machine learning. It is a process of learning to re-adjust initially pre-trained models, with some big datasets, to ...

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...

This contains examples, scripts and code related to image classification using TensorFlow models (from here) converted to TensorRT. Converting TensorFlow models to TensorRT offers significant ...