Roboflow Courses

Fine-Tuning SAM-2.1 for Image Segmentation

1 rating

Master image segmentation techniques using SAM-2.1, Meta's advanced model, through hands-on fine-tuning and practical implementation for enhanced computer vision capabilities.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Perception Encoder and Improving Visual Understanding

1 rating

Explore Meta's Perception Encoder with researcher Daniel Bolya to enhance visual understanding and improve text-to-image search relevancy through cutting-edge AI models.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

How to Train Object Detection Transformer on Custom Dataset

1 rating

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
• Self-Paced
• Free Video

Model Evaluation for Computer Vision - Precision, Recall, F1 Score, and Confusion Matrix

Explore key metrics for evaluating computer vision models, including precision, recall, F1 score, and confusion matrices, to enhance your understanding of model performance.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Football AI Tutorial: From Basics to Advanced Stats with Python

Learn to build an AI system for advanced football analytics using computer vision and machine learning. Covers player tracking, team identification, and stats calculation like ball possession and speed.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Active Learning in Computer Vision

Discover techniques for creating active learning pipelines to leverage production data in training advanced computer vision models.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Advanced Computer Vision Workflows with Foundation and Custom Models

Build computer vision applications by combining foundation models like Segment Anything 2 with custom trained models like YOLOv8, using Roboflow Workflows for efficient and powerful image processing pipelines.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Computer Vision Hardware Configuration - Cameras, Lenses, and GPUs for Vision AI

Explore essential hardware components for vision AI: cameras, lenses, and GPUs. Learn selection criteria and deployment options for optimal computer vision systems.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

How to Detect People in Danger Zones with AI

Learn how to enhance workplace safety with vision AI by tracking people and objects in danger zones, building red zone trackers, and integrating data systems for trend analysis.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Testing VLMs on Real-World Problems - How Do They Compare?

Explore how different vision-language models (VLMs) perform on real-world visual tasks, with comparisons, observations about their future, and techniques for combining models to solve complex problems.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

Use Depth Anything V2 to Measure Object Distances in Images and Videos

Discover how to implement AI depth estimation in computer vision projects using Depth Anything V2 to accurately measure distances between objects in images and videos.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Gemini 2.5 Pro and Qwen 2.5 VL for Object Detection - Benchmarking LLMs for Vision Tasks with RF100-VL

Explore how vision-language models perform on object detection tasks through RF100-VL benchmark testing, comparing Gemini 2.5 Pro, Qwen 2.5 VL, and other VLMs with detailed evaluation methods and results.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

YOLO11: Performance Benchmark and Real World Use Cases

Explore YOLO11's performance benchmarks, compare it to previous models, and learn to build real-world applications using this cutting-edge object detection technology.

• YouTube
• 26 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Florence-2: Creating and Deploying Custom Vision Language Models

Master vision language modeling with Florence-2, from fine-tuning techniques to practical implementation in computer vision projects using Roboflow's Workflows for object detection and OCR tasks.

• YouTube
• 17 minutes
• Self-Paced
• Free Video