Upload an image to detect and classify objects
Detect objects in random images
Upload image to detect objects
Identify objects in images and generate detailed data
Detect objects in anime images
Detect objects in images and videos
Analyze images to count and classify mosquito species
Detect objects in images and videos using YOLOv5
Identify the top 3 objects in an image
Detect face masks in images
Detect objects in uploaded images
Detect objects in images and return details
Identify objects in an image
Gradio YOLOv8 Det is a web-based interface for object detection built using the popular Gradio framework. It leverages the YOLOv8 model, a state-of-the-art object detection algorithm known for its high accuracy and efficiency. This application allows users to upload images and detect objects within them, providing bounding boxes and class labels in real-time.
• Real-time Object Detection: Detect objects in images instantly with high precision.
• State-of-the-art Algorithm: Powered by YOLOv8, ensuring end-to-end detection and high performance.
• User-Friendly Interface: Designed with simplicity for seamless interaction.
• Web-Based Solution: Accessible from any browser, no installations required.
• Multi-Object Detection: Capable of detecting multiple objects in a single image.
What image formats are supported?
Gradio YOLOv8 Det supports JPEG, PNG, and BMP formats.
Is this tool suitable for real-time applications?
Yes, YOLOv8 is optimized for real-time performance, making it ideal for live video and image analysis.
How accurate is the object detection?
The accuracy depends on the quality of the image and the complexity of the scene, but YOLOv8 delivers state-of-the-art results for most general-purpose object detection tasks.