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Real Time Custom Object Detection Model using YOLOV4 implemented on ROS
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A custom object detection model is made with a custom dataset created and labeled using LabelImg.
The model is trained on google colab and achieved 97% accuracy.
The model implemented on ROS (Robot Operating System) using the Darkent_ROS repository.
The model is trained on google colab and achieved 97% accuracy.
The model implemented on ROS (Robot Operating System) using the Darkent_ROS repository.
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