Object Detection in Image

• Tech Stack: Python, OpenCV, NumPy, TensorFLOW

Developed an advanced Object Detection System designed to accurately identify and locate objects within images across various contexts. Leveraged state-of-the-art deep learning models to achieve high precision and recall, facilitating applications in surveillance, retail, and autonomous vehicles.

Designed and implemented deep learning models for object detection, utilizing convolutional neural networks (CNNs) to process and analyze image data.

Curated and preprocessed a large dataset of images, employing data augmentation techniques to enhance model robustness against variations in object appearance and lighting conditions.

Integrated TensorFlow and PyTorch frameworks to train and optimize detection models, achieving top-tier accuracy and performance metrics.