Object Detection

15 Nov 2022 • 5 min read

Top 6 Gaming Datasets for Computer Vision Projects

SUMMARY Six gaming-oriented datasets from Roboflow Universe cover a range of real-world and digital game scenarios: a 350-image domino pip dataset for score tracking, a 6.3K-image Counter-Strike player dataset with CT and T team labels, draughts and chess piece detection sets, a billiards ball

27 Oct 2022 • 7 min read

School Bus Detection Using YOLOv5 (Tutorial – Part 2)

Learn how to detect school buses using YOLOv5.

21 Oct 2022 • 6 min read

What is Object Tracking in Computer Vision?

Learn about object tracking and how it is used in computer vision.

20 Oct 2022 • 5 min read

Top 6 Manufacturing Datasets for Computer Vision

Explore six manufacturing datasets you can use for computer vision projects.

28 Sep 2022 • 4 min read

Launch: Smart Polygon Labeling

SUMMARY Roboflow Annotate's Smart Polygon tool uses a machine learning model behind the scenes to generate a polygon label with a single click on an object, reducing what previously required many manual point placements to a near-instant operation. Precise polygon annotations are required for training instance segmentation

16 Aug 2022 • 6 min read

Building Custom Computer Vision Models with NVIDIA TAO Toolkit and Roboflow

NVIDIA's TAO Toolkit provides a framework for fine-tuning popular computer vision models using your own data. In this tutorial, we'll be demonstrating how to use Roboflow to curate a high-quality computer vision dataset to use with NVIDIA's TAO Toolkit.

8 Aug 2022 • 4 min read

How to Use Object Detection to Trigger Automated Email Alerts

Learn how to trigger automated email alerts when an object detection model identifies the location of an object.

3 Aug 2022 • 4 min read

Use Raspberry Pi and Luxonis OAK to Deploy Vision Models in Robotics

Learn how to use the Raspberry Pi and Luxonis OAK to run computer vision models for robotics projects.

1 Aug 2022 • 4 min read

How to Deploy YOLOv7 to a Jetson Nano

We'll be creating a dataset, training a YOLOv7 computer vision model, and deploying it to a Jetson Nano to perform real-time object detection.

14 Jul 2022 • 4 min read

Using Polygon Annotations for Object Detection in Computer Vision

SUMMARY Polygon annotations improve object detection model training even when the model only outputs bounding boxes, because the extra shape data makes augmentations more accurate. Spatial transforms like rotation and cropping stay tightly fitted to the object with polygons, while bounding boxes pick up background pixels that dilute training signal.

13 Jul 2022 • 3 min read

How to Use Polygon Annotation and Labeling with Roboflow

Polygons have traditionally been used for training image segmentation models, but they can also improve the training of object detection models. Object detection models are typically much faster and more widely supported, so they're still the best choice for solving many problems.

13 Jul 2022 • 6 min read

How to Train a YOLOv7 Model on a Custom Dataset

SUMMARY This tutorial walks through training a YOLOv7 object detection model on a custom dataset using a Google Colab notebook, covering dependency installation, loading a dataset from Roboflow Universe in YOLOv7 format, running training, evaluating results with detect.py, and deploying the model via API or to edge devices like

1 Jul 2022 • 16 min read

How to Train a YOLOv6 Model on a Custom Dataset

Learn how to train a YOLOv6 object detection model on a custom dataset.

29 Jun 2022 • 5 min read

Using Gaming Datasets for Game Automation with Computer Vision

SUMMARY This tutorial walks through building a computer vision model to detect Minecraft tree trunks using screenshots collected across multiple in-game biomes, annotated and trained via Roboflow. The resulting model is deployed through a Python inference script that reads frames from an OBS Studio virtual webcam, enabling real-time

15 Jun 2022 • 9 min read

Train and Deploy YOLOS Transformer On a Custom Dataset

In this post, we showcase training and deploying YOLOS end to end, from labeling your data, to training your model, to deploying your model on AWS for inference.

6 Jun 2022 • 8 min read

Food Manufacturing Defect Detection with Lucky Charms

SUMMARY This tutorial builds a computer vision system to detect and classify the eight types of Lucky Charms marshmallows (marbits) as a practical stand-in for food manufacturing quality control. Dataset labeling and preprocessing happen in Roboflow, and the post covers two training paths: Roboflow Train for a one-click

6 Jun 2022 • 6 min read

Autonomous Vehicle Object Detection

SUMMARY Ampera Racing, a student engineering team from UFSC in Brazil, built a low-cost autonomous vehicle pipeline using computer vision as the core perception layer, with RF-DETR handling cone detection for the Formula Student Driverless competition. The architecture covers five subsystems: environment perception, mapping, motion planning, lateral control,

19 May 2022 • 2 min read

Launch: Instance Segmentation Project Training and Inference

SUMMARY Roboflow now supports instance segmentation project training and inference natively on the platform, letting teams train directly from a pre-trained COCO checkpoint without writing training code. Instance segmentation produces per-object outlines rather than just bounding boxes, making it the right choice when downstream tasks require measuring object

19 May 2022 • 4 min read

Launch: Roboflow OAK pip package

roboflowoak pip package lets you natively interface with your Roboflow workspace through Python scripts and deploy to an OAK device.

17 May 2022 • 4 min read

Boxing Punch Detection Using Computer Vision

One of the best parts about joining Roboflow is doing a computer vision project in your first 2 weeks. As someone who loves to workout, I wanted to focus my project on a fitness related use case. I often mix boxing workouts into my routine, and thought it would be

11 May 2022 • 3 min read

How to Train a YOLOv5 Oriented Bounding Box Model

Learn how to train a YOLOv5 Oriented Bounding Box (OBB) object detection model.

23 Feb 2022 • 2 min read

Testing A Computer Vision Model In 10 Seconds Or Less

Learn how to test your computer vision model with Roboflow.

7 Feb 2022 • 7 min read

How to Train Computer Vision Models on Aerial Imagery

SUMMARY Aerial imagery from drones and planes presents distinct challenges for computer vision: small objects have few pixels to form features from, large image sizes slow training and inference, and orientation bias can mislead models. This post walks through the full pipeline for building a custom model on aerial data

2 Aug 2021 • 7 min read

How to Train YOLOX On a Custom Dataset

The YOLO family continues to grow with the next model: YOLOX. In this post, we will walk through how you can train YOLOX to recognize object detection data for your custom use case.