---
title: Vision Tasks
---
In the realm of artificial intelligence and moreover in computer vision and image processing, there are a multitude of specific tasks that models can be tailored to perform. These tasks leverage the power of AI to interpret and manipulate visual data in ways that are increasingly sophisticated and integral to various applications across industries. 

These tasks showcase the broad potential of tailored AI models in processing and understanding visual content. While general-purpose AI models offer versatility, tailored models can be more efficient, requiring less computational power and providing higher accuracy for specific applications. This targeted approach not only enhances performance but also optimizes resource usage, making it a preferred choice for specialized tasks.

Below is an overview of some key tasks in this domain:

### 1. **Depth Estimation**
Depth estimation involves determining the distance of each point in an image from the viewpoint, creating a depth map. This is crucial for applications like augmented reality, 3D modeling, and autonomous driving.

### 2. **Image Classification**
Image classification assigns a label to an entire image or photograph based on its content. This is one of the most common tasks in computer vision, used in scenarios ranging from sorting images on a website to identifying diagnostic images in healthcare.

### 3. **Image Feature Extraction**
This process involves identifying and extracting significant characteristics or features from an image. These features help in performing more complex tasks such as image recognition and classification efficiently.

### 4. **Image Segmentation**
Image segmentation divides an image into multiple segments to simplify or change the representation of an image into something that is more meaningful and easier to analyze. It is widely used in medical imaging, self-driving cars, and image editing tools.

### 5. **Image-to-Image Translation**
This involves translating one possible representation of an image into another, such as converting satellite images to maps, black and white photographs to color, or sketches to photographs.

### 6. **Image-to-Text**
Also known as image captioning, this task involves generating descriptive text from an image, which is useful in accessibility technologies and content creation.

### 7. **Mask Generation**
In mask generation, models produce a mask that delineates particular shapes or objects within an image, commonly used in background removal and visual effects.

### 8. **Object Detection**
Object detection identifies and locates objects within an image or video. This is crucial for systems like CCTV for security, and for applications in retail, where it’s used to track products.

### 9. **Video Classification**
Similar to image classification, video classification involves assigning a category or label to a video based on its overall content, important for content moderation and recommendation on video platforms.

### 10. **Text-to-Image**
Text-to-image synthesis involves creating an image directly from textual descriptions, which has applications in art generation and helping artists visualize scenes.

### 11. **Text-to-Video**
This task extends text-to-image by generating video clips from textual descriptions, pushing the boundaries in areas like digital marketing and entertainment.

### 12. **Unconditional Image Generation**
This refers to generating images from noise, without conditional inputs, used in creating diverse datasets and artistic content.

### 13. **Zero-Shot Image Classification**
In zero-shot image classification, models classify images into categories they have not been explicitly trained on, using understanding of the context and attributes described during training.

### 14. **Zero-Shot Object Detection**
This extends object detection capabilities to categories not present in the training data, beneficial in dynamic environments where new objects are frequently introduced.

### 15. **Text-to-3D**
Text-to-3D involves generating three-dimensional models from textual descriptions, useful in game design, virtual reality, and online retail.

### 16. **Image-to-3D**
This involves creating 3D models from 2D images, a critical task in virtual reality, real estate, and urban planning.