Object Detection

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.

12 Oct 2020 • 2 min read

Fighting Wildfires with Computer Vision

SUMMARY Abhishek Ghosh, a graduate student at Texas A&M working with AI For Mankind, trained an EfficientDet D0 computer vision model to detect early smoke from forest fires using images from weather towers. Using Roboflow Pro, he applied advanced augmentations and a static crop along the horizon line

22 Aug 2020 • 8 min read

How to Train a Custom Mobile Object Detection Model (with YOLOv4 Tiny and TensorFlow Lite)

Learn how to train a custom mobile object detection model with YOLOv4 tiny and TensorFlow Lite.

18 Jul 2020 • 9 min read

Retail Store Item Detection using YOLOv5

SUMMARY This tutorial trains a YOLOv5 model on the SKU110k dataset to detect and localize products on retail store shelves, with dataset preparation handled through Roboflow and model training run in Google Colab. The resulting detector draws bounding boxes around shelf items and can support inventory tracking or automated checkout

24 Jun 2020 • 9 min read

How to Train Detectron2 on Custom Object Detection Data

Learn how to train a Detectron2 model on a custom object detection dataset.

13 May 2020 • 7 min read

Data Augmentation in YOLOv4

Learn how data augmentation is used in training YOLOv4 computer vision models.