Object Detection Courses and Certifications

Nvidia

NVIDIA DeepStream Technical Deep Dive - Multi-Object Tracker

2 reviews

Explore NVIDIA DeepStream's multi-object tracker options, architecture, and optimization strategies for AI-based vision applications, with focus on NvDCF tracker and configuration parameters.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Roboflow

How to Train Object Detection Transformer on Custom Dataset

1 review

Learn to train Object Detection Transformers using DETR, from environment setup to custom dataset training and model evaluation. Covers PyTorch, COCO datasets, and PyTorch Lightning for efficient deep learning workflows.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Deep Reinforcement Learning for Object Tracking

Explore action-driven object tracking using deep reinforcement learning, covering policy, value functions, and training approaches for improved visual tracking performance.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Global Data Association for Multiple Pedestrian Tracking

Explore advanced data association techniques for multi-target tracking, from GMCP to GMMCP, and a novel approach for crowd tracking using Binary Quadratic Programming and Modified Frank-Wolfe algorithm.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Human Detection, Tracking and Segmentation in Surveillance Video

Explore advanced techniques for human detection, tracking, and segmentation in surveillance videos, focusing on scene-specific learning and occlusion handling for improved accuracy and efficiency.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Action Recognition in Temporarily Untrimmed Videos

Action recognition in untrimmed videos: challenges, datasets, and annotation techniques for improving accuracy in real-world scenarios with ambiguous content and varying video qualities.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Statistical and Spatial Consensus Collection for Detector Adaption

Explore detector adaptation techniques for improved pedestrian detection across domains, focusing on statistical and spatial consensus methods to enhance accuracy and generalization.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Object Tracking

Explore object tracking in computer vision, covering algorithms, datasets, and challenges. Learn about various tracking methods and their performance in different scenarios.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Visual Material Recognition

Explore visual material recognition through generative and discriminative approaches, focusing on reflectance models, material traits, and their applications in computer vision.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Object Recognition

Explore object recognition techniques, from Bag of Words to selective search, covering codebooks, visual synonyms, and object localization for effective image classification.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Recent Advances in Online Object Tracking

Explore recent advancements in online object tracking, covering sparsity-based classifiers, occlusion handling, and evaluation methodologies for improved visual tracking algorithms.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Object Detection Web App with TensorFlow, OpenCV and Flask

370 ratings at Udemy

Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning

• Udemy
• 1 hour 2 minutes
• On-Demand
• Paid Course

MathWorks

Object Tracking and Motion Detection with Computer Vision

31 ratings at Coursera

Explore object tracking and motion detection techniques using MATLAB. Learn to apply deep neural networks, optical flow, and advanced algorithms for real-world computer vision applications.

• Coursera
• 13 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

James Briggs

Fast Zero Shot Object Detection with OpenAI CLIP

Learn zero-shot object detection and localization using OpenAI CLIP, a multi-modal deep learning model. Implement practical techniques for efficient, domain-flexible computer vision tasks without fine-tuning.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Nicholas Renotte

Pose Estimation with the Fastest Python Deep Learning Model - MoveNet Lightning

Learn to implement real-time pose estimation using MoveNet Lightning, a fast Python deep learning model. Covers installation, TFLite integration, rendering results, and OpenCV implementation.

• YouTube
• 51 minutes
• On-Demand
• Free Video