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Ethical Hacking
FinTech Foundations and Overview
Managing Conflicts on Projects with Cultural and Emotional Intelligence
Extreme Geological Events
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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.
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.
Discover how to build an AI-powered web app that measures liquid levels in glasses, implements scoring algorithms, and creates interactive leaderboards using computer vision and cloud databases.
Master real-time vision model deployment across multiple video streams while centralizing management, reducing hardware needs, and streamlining monitoring for efficient AI implementation.
Master the complete setup and configuration process of the Keyence IV3 camera, from initial hardware connections to advanced features like FTP server integration and defect detection tools.
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.
Master building a smart parking management system with license plate detection, vehicle tracking, and real-time notifications using YOLOv8, ByteTrack, and Roboflow Workflows.
Learn to create advanced computer vision applications by combining Workflows editor tools with custom Python blocks for gesture detection, data enrichment, and visualization customization.
Learn to create a computer vision system that identifies hardware items, calculates costs, and stores data using Roboflow Instant training and custom automation workflows.
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.
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.
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.
Learn to programmatically add images and annotations to datasets using Roboflow's Upload API, enabling active learning and continuous improvement of computer vision models.
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.
Explore computer vision fundamentals, from basic concepts to problem-solving approaches, model building, and ethical considerations in this comprehensive introduction.
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