Detect objects in a video and image using YOLOv5.
Analyze images and videos to identify objects
Detect objects in uploaded videos
YOLOv11n & DeepSeek 1.5B LLM—Running Locally
YOLOv11 Model for Aerial Object Detection
Generate annotated video with object detection
Next Gen Yolo
Analyze video for object detection and counting
Identify and label objects in images or videos
Upload and detect objects in videos
Automated Insect Detection
Segment objects in videos with point clicks
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.