Image Recognition & Object Detection using AI can be used to automatically identify objects, persons, locations, and many other metadata in images, which can be helpful for tasks such as identifying anomalies in images or classifying images by content.
The value of Face Recognition & Anonymization using AI is that it can help to protect people's privacy by identifying and anonymizing faces in images.
Face Recognition can be used to index faces for later retrieval or lookup.
Image Recognition can detect a wide variety of content in images, including explicit and suggestive images, violence, banned content, and hate symbols.
Perform Text Detection and Text Recognition in images.
No setup, No installation, Yet image processing power
Image caption generation is the task of automatically generating a textual description of an image.
Detect Sentiment and Emotion from Face Analysis
Face age classification using AI means using artificial intelligence to estimate the age of a person based on their facial features.
A method of image deblurring using AI involves using a convolutional neural network to learn a mapping from blurred images to latent sharp images.
AI can be used to improve image resolution by using algorithms to identify patterns better and fill in the missing information.
Image colorization using AI is a process of adding color to an image using artificial intelligence algorithms.
Image in-painting using AI is the process of using artificial intelligence to fill in missing or damaged pixels in an image. It can be used to remove unwanted items in an image.
Use Stable Diffusion to perform image generation based on prompt. This includes stable diffusion dreambooth to generate images of an existing object based on a few examples. This process can be used to generate more samples of images to better train image recognition or object detection.