Detect objects in an image
Upload an image to detect objects
Detect face masks in images
Identify objects in images
Detect objects in images and highlight them
Identify benthic supercategories in images
Detect objects in images
Detect objects in images
Upload an image to detect objects
Detect objects in images using YOLOv5
Identify the main objects in an image
Count objects in an image by drawing a region of interest
Identify objects in images with YOLOS model
Object-Detection-on-Device is a powerful AI-powered tool designed to detect objects within images directly on your device. It leverages cutting-edge machine learning models to identify and classify objects in real-time or offline, making it ideal for applications that require fast and accurate object recognition. This solution is optimized to run efficiently on various devices, ensuring minimal latency and high performance.
• Real-Time Object Detection: Detect objects instantly as you capture or upload images.
• Multi-Object Detection: Identify multiple objects within a single image.
• High Accuracy: Leverage state-of-the-art AI models for precise object recognition.
• Offline Capability: Perform object detection without an internet connection.
• Cross-Platform Support: Compatible with various operating systems and devices.
• Customizable Models: Fine-tune detection settings to suit specific use cases.
What devices are supported?
Object-Detection-on-Device is compatible with most modern smartphones and tablets, including iOS and Android devices.
Can I use the app without an internet connection?
Yes, the app supports offline object detection after the initial setup and model download.
How accurate is the object detection?
The app uses state-of-the-art AI models to ensure high accuracy, but performance may vary depending on image quality and lighting conditions.