Roboflow Courses

How to Train Object Detection Transformer on Custom Dataset

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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

Count People in Zone - Using YOLOv5, YOLOv8, and Detectron2 - Computer Vision

Learn to detect and count objects in polygon zones using YOLOv5, YOLOv8, and Detectron2. Explore real-world examples and leverage the Supervision library for advanced computer vision analytics.

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

Track & Count Objects Using YOLOv8, ByteTrack & Supervision

Build an application to track and count objects using YOLOv8 for detection, ByteTrack for tracking, and Supervision for counting. Learn to set up the environment, create custom pipelines, and train models on custom datasets.

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

Is Machine Learning Smarter Than a Toddler? - Roboflow + OpenCV Webinar

Explore how AI and ML compare to toddlers in object recognition, drawing, and writing. Gain insights into the current capabilities and limitations of machine learning technology.

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

How to Use the Roboflow Upload API - Python

Learn to programmatically add images and annotations to datasets using Roboflow's Upload API, enabling active learning and continuous improvement of computer vision models.

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

How to Build a Detectron2 Model with Roboflow and Paperspace Gradient

Learn to build a Detectron2 model using Roboflow for image preprocessing and Paperspace Gradient for GPU-backed training. Covers dataset access, image augmentation, and model development.

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

Intro to Computer Vision - Fireside

Explore computer vision fundamentals, from basic concepts to problem-solving approaches, model building, and ethical considerations in this comprehensive introduction.

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

Accelerate Image Annotation with SAM and Grounding DINO - Python Tutorial

Learn to accelerate image annotation using Grounding DINO and Segment Anything Model (SAM). Convert object detection datasets to instance segmentation and explore automatic annotation for real-time detectors like YOLOv8.

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

Traffic Analysis with YOLOv8 and ByteTrack - Vehicle Detection and Tracking

Learn real-time traffic analysis using YOLOv8 and ByteTrack for vehicle detection and tracking on aerial images. Explore zone assignment, movement direction, and traffic flow visualization with Python and Supervision.

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

CLIP, T-SNE, and UMAP - Master Image Embeddings and Vector Analysis

Master image embeddings and vector analysis techniques like CLIP, T-SNE, and UMAP. Learn to cluster MNIST images, detect duplicates, and explore essential concepts in computer vision and data science through hands-on practice.

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

Vehicle Tracking and Speed Estimation Using Computer Vision - Open Source Tutorial

Learn to track vehicles and estimate their speed using computer vision techniques. Covers object detection, multi-object tracking, perspective transformation, and speed estimation with practical code implementation.

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

How to Use OCR: Getting Started with Optical Character Recognition

Explore OCR models, benchmark performance, and follow a step-by-step guide to implement Optical Character Recognition in your projects.

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

YOLOv9 Tutorial - Train Model on Custom Dataset

Learn to set up, train, and deploy YOLOv9 for custom object detection, including model evaluation, inference, and practical applications like self-service checkout systems.

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

Dwell Time Analysis with Computer Vision - Real-Time Stream Processing

Optimize processes using computer vision for wait time analysis. Learn object detection, tracking, and time calculation in zones to enhance customer experience and improve efficiency.

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

YOLO11: How to Train for Object Detection on a Custom Dataset - Step-by-Step Guide

Master YOLO11 object detection from dataset selection to model deployment. Learn image labeling, local and Colab training, hyperparameter tuning, performance evaluation, and real-world implementation in this comprehensive guide.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video