INSAT
Engineering, Industrial Computing and Automation
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I have hands-on experience in data labeling and AI training, specializing in computer vision and machine learning applications. I successfully developed an Automatic Number Plate Recognition (ANPR) model using TensorFlow Object Detection, achieving an 81% accuracy rate. To enhance efficiency, I optimized and converted the model to TensorFlow Lite, reducing its size by 32%, and implemented real-time license plate detection with integrated OCR capabilities using EasyOCR. This project required meticulous data labeling, model fine-tuning, and deployment on local hardware for real-world application. Additionally, during a university project, I created a system for detecting plant diseases using Convolutional Neural Networks (CNNs). This involved preparing and labeling a large dataset of plant images, designing an effective model architecture, and evaluating its performance. These experiences have equipped me with a strong foundation in data labeling, annotation workflows, and practical AI model development.
Khalil L. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Engineering, Industrial Computing and Automation
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