AgenticObjectDetection
by LandingAIAgentic Object Detection is a novel object detection technology enabling zero-shot detection through text prompts, eliminating the need for labeled data.
What is Agentic Object Detection?
Agentic Object Detection is a revolutionary object detection technology developed by Andrew Ng's team. It uses an intelligent agent system to detect objects in images without the need for labeled data. By simply inputting text prompts, the AI can reason and accurately locate objects based on their intrinsic properties, contextual relationships, and dynamic states.
Key Features
- Zero-shot Detection: No labeled data or model training is required; objects are detected through text prompts.
- Intrinsic Property Recognition: Identifies objects based on their inherent properties like color, shape, and texture.
- Contextual Relationship Recognition: Detects objects based on their spatial location or relationship with other objects.
- Specific Object Recognition: Accurately distinguishes specific objects within the same category.
- Dynamic State Detection: Recognizes objects based on their motion, actions, or state changes.
Technical Principles
- Intelligent Agent System: Combines design patterns to reason about object properties and contextual relationships.
- Zero-shot Detection: Achieves detection through reasoning, requiring no labeled data.
- Multimodal Reasoning: Understands complex semantic information, such as object states and brand features.
Application Scenarios
- Assembly Verification: Ensures capacitors are correctly installed in production processes.
- Crop Detection: Identifies unripe tomatoes to improve agricultural yield.
- Medical Image Analysis: Detects abnormalities in medical images for accurate diagnosis.
- Hazardous Item Detection: Identifies potential hazards to enhance public safety.
- Product Management: Manages inventory by identifying specific branded products.
Getting Started
Visit the project website to learn more and try the demo.
Features & Capabilities
What You Can Do
Object Detection
Zero-Shot Detection
Intrinsic Property Recognition
Contextual Relationship Recognition
Dynamic State Detection
Categories
Object Detection
AI
Zero-shot Detection
Computer Vision
Intelligent Agent System
Text Prompts
Reasoning-Driven AI
Andrew Ng
LandingAI
No Labeled Data
Example Uses
- Assembly Verification
- Crop Detection
- Medical Image Analysis
- Hazardous Item Detection
- Product Management
Getting Started
Screenshots & Images
Primary Screenshot
Additional Images
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