Blog

Case Studies

Latest Posts Case Studies Product Updates Logistics Manufacturing

Retail Store Item Detection using YOLOv5

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

computer vision software for human rights

1 Jul 2020 • 3 min read

How AI Acts as a Human Rights Watchdog for the Maasai People

SUMMARY A team of students built a computer vision system that processes satellite imagery from Google Earth Engine to monitor Maasai villages in Kenya and Tanzania, tracking settlement size, health, and evidence of burning to document land displacement by government and conservation interests. The model was trained using Roboflow'

Improving Uno with Computer Vision (Plus the Dataset so You Can Too)

28 Jun 2020 • 6 min read

Improving Uno with Computer Vision (Plus the Dataset so You Can Too)

SUMMARY Software engineer Adam Crawshaw built an Android app that uses object detection to automatically score Uno hands, handling the multi-round point system most players overlook. Starting from 41 source card images, he used OpenCV to synthetically composite cards into stacked groups, producing a dataset of 8,992 images

boggle

25 Jun 2020 • 7 min read

Creating BoardBoss: A Mobile Application that Improves Boggle

SUMMARY BoardBoss is a free iOS app, built by the Roboflow team, that scans a Boggle board with a smartphone camera, identifies letters in any orientation across more than 30 classes, and overlays all valid word solutions in augmented reality. The post walks through the full pipeline: collecting 355 images

drone flying with vision

3 Jun 2020 • 3 min read

Teaching a Drone to Fly on Auto Pilot with Roboflow

SUMMARY Victor Antony, a data scientist at the University of Rochester, built a computer vision autopilot system to detect gates that a drone must fly through, starting from only 300 images captured in a warehouse. Using Roboflow, he applied augmentations for rotation, lighting, and blur to expand the dataset to

Using Computer Vision to Count Fish Populations (and Monitor Environmental Health)

5 May 2020 • 7 min read

Using Computer Vision to Count Fish Populations (and Monitor Environmental Health)

Counting salmon passing through a fish ladder viewing window is currently done by trained human observers, but object detection models can automate and scale that work. See how data scientist Jamie Shaffer trained a computer vision model.

boilerplate

12 Feb 2020 • 4 min read

Eliminating Boilerplate Code with Roboflow to Monitor Security Camera Footage

SUMMARY Data scientist Alaa Senjab built a real-time gun detection model for security camera footage using a 2,973-image handgun dataset from the University of Grenada, and reported that Roboflow cut roughly half of his project code by handling annotation validation, preprocessing, augmentation, and format conversion automatically. Roboflow

dataset

11 Feb 2020 • 2 min read

A popular self-driving car dataset is missing labels for hundreds of pedestrians

SUMMARY A hand-check of the 15,000 images in the widely used Udacity Dataset 2 found problems in 4,986 of them (33%), including thousands of unlabeled vehicles, hundreds of unlabeled pedestrians, dozens of unlabeled cyclists, and 217 completely unannotated images that contained real objects. Phantom annotations, duplicated bounding

Stay Connected

Get the Latest in Computer Vision First