Glossary
A glossary of helpful terms and definitions pertaining to the field of Image AI Generation.
| Term | Definition |
| Stable diffusion (Learn more) | A technique for smoothing out image noise and reducing the effects of pixelation, often used in image compression and enhancement. |
| Imagen (Learn more) | A cloud-based platform for managing and analyzing medical images, using AI and machine learning algorithms to improve diagnosis and treatment. |
| Mid-journey (Learn more) | The stage in the AI training process where the model is fine-tuned based on the specific needs of the application, often using transfer learning. |
| DALL-E (Learn more) | An AI system developed by OpenAI that can generate images from textual descriptions, using a combination of deep learning and natural language processing. |
| Deep learning | A type of machine learning that uses neural networks to analyze and classify data, including images. |
| Prompt (Learn more) | Prompt can be a written description or a visual cue, such as a sketch or a photograph, that provides the AI system with information about the desired output. |
| Text-to-image |
Image AI generation is a process where an AI system uses natural language processing (NLP) techniques to generate an image based on a textual description. |
| Convolutional neural networks (CNNs) | A type of deep learning neural network that is commonly used for image recognition and analysis. |
| Generative adversarial networks (GANs) | A type of AI system that consists of two neural networks that work together to generate new images or modify existing images. |
| Image segmentation | The process of dividing an image into multiple segments or regions, each of which corresponds to a different object or area in the image. |
| Object detection | The ability of an AI system to detect and locate objects within an image. |
| Style transfer (Learn more) | A technique that allows an AI system to apply the style of one image or artistic genre to another image. |
| Super-resolution | A technique that uses AI to increase the resolution and detail of an image beyond its original size. |
| Auto encoders | A type of neural network that is used for image compression, noise reduction, and image generation. |
| Image-to-image translation: | A technique that uses AI to translate an image from one style, format, or domain to another. |
| Multi-object tracking | The ability of an AI system to track and monitor multiple objects within a video stream or series of images. |
| Optical character recognition (OCR) | The ability of an AI system to recognize and extract text from an image or document. |
| Pose estimation | The ability of an AI system to estimate the position and orientation of objects or people within an image or video. |
| Semantic segmentation | A type of image segmentation that assigns semantic labels to each segment of an image, allowing for more detailed analysis and interpretation. |
| Image retrieval | The process of searching for and retrieving images based on specific criteria, such as content, metadata, or similarity to other images. |