Detect objects in an image
Detect objects in uploaded images
Detect and segment objects in images
Generic YOLO Models Trained on COCO
Detect objects in images and highlight them
Upload an image to detect objects
Detect objects in images
Identify objects in an image
State-of-the-art Object Detection YOLOV9 Demo
Cutting edge open-vocabulary object detection app
Identify objects in images
Find objects in your images
Track objects in live stream or uploaded videos
Object-Detection-on-Device is an AI-powered tool designed to detect objects within images directly on your device. It enables real-time object detection without requiring an internet connection, making it suitable for applications where offline functionality is essential. The tool is cross-platform compatible and leverages advanced machine learning models to deliver accurate results.
• Real-Time Detection: Quickly identifies objects in images with minimal processing time.
• Offline Capability: Operates without an internet connection, ensuring functionality anywhere.
• Multi-Platform Support: Compatible with various operating systems, including mobile and desktop environments.
• Customizable Models: Allows users to fine-tune detection models for specific use cases.
• High Accuracy: Utilizes cutting-edge AI algorithms for precise object recognition.
• User-Friendly Interface: Intuitive design for seamless integration into applications.
What platforms does Object-Detection-on-Device support?
Object-Detection-on-Device is designed to work on iOS, Android, and major desktop operating systems, making it versatile for cross-platform development.
Can I use Object-Detection-on-Device without an internet connection?
Yes, Object-Detection-on-Device operates entirely offline, allowing you to perform object detection without relying on internet connectivity.
How accurate is the object detection?
The accuracy depends on the underlying AI model and the quality of the input image. Object-Detection-on-Device uses state-of-the-art models to ensure high precision in most scenarios. For optimal results, use clear and well-lit images.