Object Detection

YOLOv8 Video Object Detection for Computer Vision in Python. Train on Custom Dataset, Deploy YOLO8 to YOUR own Projects

Google Teachable Machine

Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4

Deep Learning-Based Object Detection for Computer Vision with Keras and TensorFlow in Google Colab Platform : Hands-on

Understand, train and evaluate Faster RCNN, SSD and YOLO v3 models using Tensorflow 2 and Google AI Platform

Learn to Develop License Plate Object Detection, OCR and Create Web App Project using Deep Learning, TensorFlow 2, Flask

The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization.

YOLO-NAS, Train Custom Dataset, Object Detection, Tracking, Real World Projects

Integrate Object Detection models in Android like YOLO and train custom object detection models for Android and IOS