• 13 min read
What Is YOLOv5? Architecture, Sizes, and How It Works
In this article, we discuss what is new in YOLOv5, how the model compares to YOLOv4, and the architecture of the new v5 model.
Blog
Erik Kokalj
Developer Experience @ Roboflow
Latest Posts by Erik Kokalj
• 2 min read
Launch: Workflows Builder 2.0
Workflows Builder 2.0 is here with a drag-to-connect interface that makes building and understanding computer vision pipelines faster and clearer.
• 5 min read
Building an AI-powered Bot to Beat the Chrome Dino Game
SUMMARY
This tutorial walks through a complete computer vision project that trains an RF-DETR model to detect the Dino, Cactus, and Bird objects in the Chrome Dino game, then uses model predictions at inference time to drive keyboard actions via pynput. Dataset images were captured by screen-recording manual
• 5 min read
Train a YOLO26 Instance Segmentation Model with Custom Data
SUMMARY
This tutorial walks through fine-tuning YOLO26 for instance segmentation on the Car Part Detection dataset from Roboflow Universe, using a Google Colab notebook with the Ultralytics library. Unlike object detection bounding boxes, instance segmentation identifies the exact pixels belonging to each object, which matters for applications like medical
• 4 min read
How to Train a YOLO26 Object Detection Model with Custom Data
SUMMARY
This tutorial covers fine-tuning a YOLO26 object detection model on the Basketball-Player-Detection dataset from Roboflow Universe, which contains 654 annotated images of NBA players, referees, and basketballs. Using a Google Colab notebook with the Ultralytics library, the guide walks through GPU environment setup, dataset download via
• 6 min read
How to Train a YOLOv5 Model On a Custom Dataset
Learn how to train a YOLOv5 model on a custom dataset.
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