Detect objects in a video and image using YOLOv5.
Detect objects in a video
Identify objects in live video
Detect objects in live video feeds
Generate a video with stick figures tracking human poses
Generate annotated video with object detection
Detect moving objects in videos
Product Prototype 1
Identify objects in images and videos
Identify objects in images and videos
Detect objects in images or videos
Detect objects in real-time from webcam video
ObjectCounter
Object detection is a computer vision technique that enables the identification and localization of objects within images or videos. It is a fundamental tool for analyzing visual data, recognizing specific objects, and understanding their context. The Object Detection app leverages advanced AI models like YOLOv5 to process videos and images, detect objects, and provide precise results.
The Object Detection app offers the following key features: • Real-Time Processing: Efficiently processes video and image files for immediate object detection. • Multiple Object Detection: Identifies and labels multiple objects in a single frame. • High Accuracy: Utilizes state-of-the-art YOLOv5 models for accurate detection. • Support for Various Formats: Compatible with popular image and video formats. • Customizable Settings: Option to adjust detection parameters for specific use cases. • Integration Capabilities: Easily integrates with other tools for enhanced workflows.
What is object detection used for?
Object detection is widely used in applications like surveillance, autonomous vehicles, and image analysis to identify and track objects in visual data.
What formats does the app support?
The app supports common image formats (e.g., JPEG, PNG) and video formats (e.g., MP4, AVI).
How accurate is the object detection?
Accuracy depends on the quality of the input and the selected model. YOLOv5 provides high accuracy for most use cases, but results may vary with complex or low-resolution inputs.