ML Engineer Intern - Data Annotation for Vehicle Detection
VideoObject Detection
Developed and fine-tuned a vehicle detection system on traffic videos for real-time management. Labeled and validated objects (vehicles) in video frames for the training and evaluation of machine learning models. Enhanced detection accuracy by optimizing annotation and preprocessing workflows. • Processed live and recorded video streams for vehicle labeling.
• Used bounding box annotations for each vehicle in various traffic conditions.
• Validated and corrected model outputs with manual review.
• Prepared datasets for further downstream analysis and ML fine-tuning.
Developed and fine-tuned a vehicle detection system on traffic videos for real-time management. Labeled and validated objects (vehicles) in video frames for the training and evaluation of machine learning models. Enhanced detection accuracy by optimizing annotation and preprocessing workflows. • Processed live and recorded video streams for vehicle labeling. • Used bounding box annotations for each vehicle in various traffic conditions. • Validated and corrected model outputs with manual review. • Prepared datasets for further downstream analysis and ML fine-tuning.
2025 - 2025