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Track objects in video
ObjectDetection

ObjectDetection

Process video to detect objects with corrected rotation

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What is ObjectDetection ?

ObjectDetection is an AI-powered tool designed to track objects in video with advanced capabilities. It specializes in detecting objects and correcting their rotation for accurate tracking. This tool is particularly useful for applications requiring precise object recognition and tracking in video content.

Features

  • Object Tracking: Accurately tracks objects across video frames.
  • Rotation Correction: Detects and corrects object rotation for precise analysis.
  • Model Flexibility: Supports various object detection models such as YOLO or SSD.
  • Real-Time Processing: Capable of processing video in real-time for immediate results.
  • Customizable Output: Provides output options including bounding boxes, object coordinates, and classifications.

How to use ObjectDetection ?

  1. Install Dependencies: Ensure all required libraries and frameworks are installed.
  2. Load Video Input: Import the video file or stream you want to process.
  3. Initialize ObjectDetection: Create an instance of the ObjectDetection tool with your preferred model.
  4. Process Video: Apply the tool to the video to detect and track objects.
  5. Display or Save Results: Optionally, visualize the results or save the output for further analysis.

Frequently Asked Questions

What models are supported by ObjectDetection?
ObjectDetection supports popular models like YOLO (You Only Look Once), SSD (Single Shot MultiBox Detector), and others. You can choose the model based on your specific needs.

How accurate is ObjectDetection in correcting rotations?
ObjectDetection uses advanced algorithms to detect and correct object rotations accurately. However, accuracy may vary depending on the video quality and the chosen model.

Can ObjectDetection be used for real-time video processing?
Yes, ObjectDetection is optimized for real-time processing. It can analyze video streams and provide immediate results, making it suitable for applications like surveillance or live monitoring.

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