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Image Object Detection is a computer vision technique used to identify and locate objects within an image. It not only detects the presence of specific objects but also highlights their positions using bounding boxes. This technology is widely used in various applications, including surveillance, autonomous vehicles, medicine, and retail.
• High accuracy in detecting objects within images • Real-time processing for quick results • Multiple platforms supported, including web, mobile, and desktop • Customizable to detect specific object categories • Integration with other AI models for enhanced functionality
What file formats are supported for image uploads?
Most common formats like JPG, PNG, and BMP are supported.
How accurate is Image Object Detection?
Accuracy depends on the quality of the input image and the model's training data.
Can I detect custom objects?
Yes, custom models can be trained to detect specific objects not included in the default categories.