car counting and detection
to use traffic videos obtained from opensource platforms and use them to detect the different types of vehicles and count the total number of vehicles.
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Experienced remote annotator with a keen eye for detail and proficiency in data labeling for machine learning projects. Adept at utilizing annotation tools and ensuring high-quality labeled datasets. Committed to precision and efficiency in contributing to AI model training. Strong communication skills and ability to collaborate seamlessly in virtual environments.
to use traffic videos obtained from opensource platforms and use them to detect the different types of vehicles and count the total number of vehicles.
the scope of the project revolved around airbases to detect all types of aircraft present in the base using satellite imagery and classify those aircrafts into the classes selected for the project
Masters in Systems Engineering, machine learning
Machine Learning Engineer