Object Detection tutorials

Build a Poker Hand Scanner: Card Recognition API Guide

Integrating a dedicated card recognition api into your workflow empowers software teams to inject production-ready computer vision into…

Automatic Image Annotation with Autodistill and YOLOv8

Instead of a human drawing every bounding box and typing every label, models learn to recognize patterns and automatically assign classes…

How to Fine-Tune YOLO-World for Vision Tasks | Underwater trash

The evolution of computer vision has reached a fascinating intersection where “open-vocabulary” models allow us to detect almost anything…

Efficiency vs. Precision: A Python Deep Dive into Faster R-CNN and SSD PyTorch

In the rapidly evolving landscape of artificial intelligence, selecting the optimal architecture for computer vision is rarely a simple…

Rethinking Computer Vision: Designing Custom Video Interfaces with YOLO11 and OpenCV

The world of computer vision moves incredibly fast, and the arrival of YOLO11 has raised the bar for real-time object detection efficiency…

How I Trained a Custom YOLO Model to Spot African Wildlife

Computer vision holds incredible potential when it comes to observing animals in their natural environments. This article provides a…

How to train YOLOv8 bone fracture detection on X-rays

Modern hospitals see thousands of fracture cases every year, and most of them are confirmed or ruled out using X-ray images. Interpreting…

Training an AI to Identify 43 Military Aircraft

Imagine trying to teach a machine to distinguish between the subtle silhouette of an F-22 Raptor and an F-35 Lightning II across thousands…

I Stopped Manually Labeling Images. A Practical Guide to Zero-Shot Object Detection with YOLO-World

How to Use EigenCAM for YOLOv5 Object Detection

Understanding EigenCAM in Deep Learning

How to Train YOLOv5 on a Custom Dataset

Getting Ready to Train YOLOv5 on a Custom Dataset

Professional Vision Analytics: Mastering YOLO11 Tracking with PiP Overlays

Modern computer vision is no longer just about drawing static boxes around objects; it is about extracting actionable, persistent…

AI in the Greenhouse: Mastering Tomato Disease Detection with PyTorch

Modern agriculture is undergoing a massive digital transformation, and at the center of this revolution is the ability to “see” what is…

Beyond Basic Detection: A Guide to Persistent Tracking with YOLOv11 and ByteTrack

In the world of computer vision, a detector that simply points at an object is only doing half the job. Real-world applications — whether…

Easy Detectron2 Object Detection Tutorial for Beginners

Getting comfortable with a Detectron2 object detection tutorial

How to Train Detectron2 on Custom Object Detection Data

Getting started with Detectron2 custom dataset training

I Stopped Manual Labeling Forever: How Grounded-SAM and YOLO11 Changed My Workflow

I used to spend my weekends hunched over a monitor, clicking thousands of individual points just to draw a single bounding box around a…

Protecting Video Privacy at Scale: A Deep Dive into YOLO11 and AI Redaction

In an era of ubiquitous cameras and live-streaming, the “Right to be Forgotten” has moved from a legal concept to a technical challenge. We…

Stateful Video Analytics: Building a Custom Line-Crossing Object Counter with YOLO11 and Python

Getting Started with YOLO11 Object Counting Python for Real-World Analytics

How to Train Yolo Nas on Custom Dataset (Aquarium)

When you train yolo nas on custom dataset, you’re taking an object detection model that was designed as a strong, general-purpose detector…

I Boosted YOLOv8 Speed by 10x on Windows: Here is the TensorRT 10 Blueprint

If you’ve ever deployed an object detection model in a real-world scenario, you know the frustration of “stuttering” frame rates. Standard…