Real Time Sign Language Detection with Tensorflow Object Detection and Python - Deep Learning SSD

Learn to build an end-to-end custom object detection model for real-time sign language translation using Tensorflow Object Detection and Python. This 32-minute tutorial covers collecting images with a webcam and OpenCV, labeling images using LabelImg, setting up the Tensorflow Object Detection pipeline, applying transfer learning to train a deep learning model, and implementing real-time sign language detection with OpenCV. Gain practical skills in computer vision and deep learning while working towards bridging communication gaps for individuals who are deaf or hard of hearing. Access the provided training template and additional resources to enhance your learning experience.

Real Time Sign Language Detection with Tensorflow Object Detection and Python | Deep Learning SSD