• 4 min read
How I Used Computer Vision to Make Sense of My Fridge
As part of a groupwork for a postgraduate applied AI at Erasmus Brussels we made an object detection model to identify ingredients in a fridge.
• 3 min read
We Raised a $20M Series A to Continue Democratizing Computer Vision
Today, Roboflow is excited to announce our $20 million Series A led by Craft Ventures to expand on our mission to give software the sense of sight. Lachy Groom, who co-led the seed with Craft, also participated in the round. Additionally, we welcomed new investment from leaders like Jack
• 5 min read
Using Computer Vision to Accelerate Microbiology Research and Combat Antibiotic Resistance
Michael Shamash is a Master’s student in the Maurice Lab at Canada's McGill University. Michael used Roboflow to streamline the production of a model and iOS app for use in microbiology.
• 3 min read
Using Computer Vision to Clean the World's Oceans
SUMMARY
Researchers from CSU Monterey Bay, The Ocean Cleanup, and UC San Diego built a computer vision model to detect underwater plastic debris for autonomous underwater vehicles. Using a 3,200-image dataset collected from real California field sites and annotated with Roboflow, the team compared YOLOv4, YOLOv4-tiny, and
• 7 min read
How Atos Uses Computer Vision to Monitor Office Occupancy
SUMMARY
Atos, a digital transformation firm with over 100,000 employees, built a privacy-first office occupancy counter using computer vision and Roboflow, going from initial data collection to a production client demo running on an NVIDIA Jetson Nano in under 60 days. The system connects to existing security camera
• 6 min read
How Computer Vision Streamlines Risk Avoidance Workflows in Oil & Gas
SUMMARY
In Canadian oil and gas operations, regulators require companies to identify and notify landowners whose property falls within a proposed pipeline's consultation area, a task that traditionally meant manually digitizing house locations one by one in ArcGIS. This guest post by Douglas Long describes replacing that manual
• 3 min read
How to Use Computer Vision to Keep Stock of Inventory
Learn how to use computer vision to track inventory in logistics facilities.
• 3 min read
Using Computer Vision to Extract Document Structure
SUMMARY
A student in Germany trained a custom object detection model on roughly 1,000 scanned school book pages to identify individual tasks and page numbers, reducing the data that needs to be transmitted during remote learning by sending extracted text instead of full images. The project used Roboflow Annotate
• 4 min read
Danger Monitoring for Cyclists using Raspberry Pi and Object Detection
SUMMARY
This project builds a low-cost cyclist danger monitor using a Raspberry Pi 4, a Google Coral TPU stick for faster inference, and an LED traffic light that warns the rider when cars or bicycles are detected in proximity. The model was trained on three datasets totaling over 6,
• 3 min read
Using Computer Vision to Detect Personal Protective Equipment
SUMMARY
Construction site PPE compliance can be automated with an object detection model that flags safety violations, such as missing hard hats, directly from site images. Data scientist Jaco Lau built this using Roboflow for image annotation, class balancing, and model training, then deployed the detector inside a Streamlit application
• 9 min read
How We Built Paint.wtf, an AI Game with 150,000+ Submissions that Judges Your Art
SUMMARY
Paint.wtf is an online drawing game built by Roboflow and Booste that uses OpenAI's CLIP model to score user submissions against absurdist text prompts, ranking drawings by how closely their image embeddings match the prompt's text embedding. GPT-2 generated the bulk of the
• 3 min read
How to Use Google Earth Engine and Python API to Export Images to Roboflow
SUMMARY
Google Earth Engine's Python API can pull multispectral imagery from the Sentinel-2 satellite and export it as image files ready to upload directly into Roboflow for training computer vision models on geographic data. The tutorial covers authenticating to both Google Earth Engine and Google Drive, selecting
• 3 min read
Using Computer Vision to Improve Disability Access in Music Education
SUMMARY
A high school student built the Mehek Box, a tactile rhythm education tool for students with disabilities, and extended it with a computer vision feature that recognizes physical rhythm blocks via an in-app camera. She trained an EfficientDet-D0 object detection model on a custom dataset built from
• 4 min read
Using Computer Vision to Help Win $1 Million in Mountain Dew's Big Game Contest
SUMMARY
Mountain Dew's Super Bowl LV ad challenged viewers to count the exact number of bottles in the commercial for a $1 million prize, and this post builds an object detection model to assist with that count. The 30-second video was sampled at three frames per second
• 4 min read
Using Computer Vision to Make Card Grading Faster and Cheaper
SUMMARY
Professional card grading is slow and expensive, and a large portion of the assessment (edge wear, corner wear, centering, surface damage) maps well to computer vision. This guest post describes a prototype that uses OpenCV for edge detection and card alignment checks, then trains a YOLOv5 model on a
• 3 min read
Using Computer Vision to Win at Duck Hunt
Can we use object detection to automate identifying moving objects on a screen? Abhinav Mandava leverages Roboflow to create an aimbot (which automates aiming and firing for the player) for Duck Hunt.
• 6 min read
Football, Kaggle, Roboflow: Using Computer Vision to Tackle Helmet Safety
SUMMARY
This post walks through a Kaggle competition case study focused on detecting American football helmet impacts to help researchers understand conditions that contribute to traumatic brain injury. The authors use Scaled-YOLOv4, selected for its inference speed, and use Roboflow to preprocess and augment the provided training images. A
• 4 min read
Tackling the Internet of Things with Roboflow: Object Detection Apps on Android
Joo chan Kim, PhD student, is developing an object detection application for Android devices that can identify specific IoT sensors by using a custom detection model.
• 5 min read
How This Fulbright Scholar is Using Computer Vision to Protect Endangered Species
SUMMARY
Kasim Rafiq, a Fulbright Scholar and National Geographic Explorer at UC Santa Cruz, is building a vehicle-mounted computer vision system that automatically detects and photographs wildlife during safari game drives, then uses those detections for species population surveys at a fraction of the cost of traditional field methods.
• 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
• 3 min read
Training Robots to Identify Other Robots
SUMMARY
Amitabha Banerjee trained a computer vision model to teach his Anki Vector robot to detect other robots, addressing a real gap since the Vector's onboard AI handles speech and human recognition but not robot-to-robot identification. He collected 303 images from the robot's own
• 4 min read
Using Computer Vision to Find Brands in YouTube Videos
SUMMARY
Software engineer Charles Herring built a browser-based computer vision model that detects power tool brands appearing in DIY YouTube videos, giving companies a way to measure unpaid exposure and identify sponsorship opportunities. Roboflow replaced Google Cloud AutoML as his data management layer, providing dataset-level class distribution statistics
• 14 min read
Benchmarking the Major Cloud Vision AutoML Tools
Until now, there has been little independent research published on the performance of AutoML tools - (both relative to each other and against state of the art open source models)
• 6 min read
Improving Infrastructure Asset Management with Computer Vision
SUMMARY
Result! Data built a mobile app called Spobber that uses computer vision to detect hectometre signs along Dutch highways, verifying whether field assets match database records and flagging missing or damaged signs automatically. This guest post walks through their full pipeline: data collection from a moving vehicle, annotation, augmentation
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