Roboflow Changelog: October 2022
4 min read

Each month, we share a recap of product and company updates. If you missed the last edition of the Roboflow Changelog, you can find it here.
Note that YOLOv7 is GPL-3.0 licensed, which limits commercial use unless you open-source your code. RF-DETR (opens in a new tab), on the other hand, is Apache 2.0 and free for commercial use.
Roboflow Organize and Annotate
- Upload Private Bucket Data (opens in a new tab) (AWS, Google Cloud and Microsoft Azure)
- Upload YouTube videos for labeling data

Roboflow Train

Roboflow Deploy
- Semantic Segmentation Deployment for Roboflow Train models (opens in a new tab) | Inference Documentation (opens in a new tab)
- Python package bug fixes and improvements
- Upload YouTube videos to the Deploy Tab for inference
Roboflow Universe
- Clone Images from Roboflow Universe projects
- Universe Workspace Profiles

- Starring Projects in Universe

New Tutorials
Projects from New Employees
- How I use Computer Vision and Twilio to Guarantee Availability at Busy Public Tennis Courts
- Measure Distance in Photos and Videos Using Computer Vision
Projects from Roboflow Blog Contributors
- Overfitting in Machine Learning and Computer Vision
- Top 6 Agriculture Datasets for Computer Vision
- Blurring Faces to Preserve Privacy with Computer Vision
Other
- AWS Partnership: Roboflow available in the AWS Marketplace
- Accelerate PyTorch Models via OpenVINO™ Integration with Torch-ORT
- Ultralytics HUB Integration
- Ultralytics YOLO VISION (opens in a new tab): What Training 10,000 Vision Models Tells Us about Getting to Production with Joseph Nelson (opens in a new tab) (YouTube) | A CV Approach to Quantifying Plastic in the Ocean with Jay Lowe (opens in a new tab) (YouTube) | Bridging AI From Digital to Physical: Real-World AI, Right at the Edge with Elaine Wu (opens in a new tab) (YouTube) | Using CV to Improve Accessibility through Automated Sign Language Captioning with Mohamed Traore (opens in a new tab) (YouTube)
- Roboflow featured by Systems Nakashima at a major conference in Chiba, Japan

- Object Detection Using YOLOv5 Tutorial - Data Moves Me (opens in a new tab)
- Artificial Intelligence in Makerspaces – Repurposing industry applications to serve makerspace needs (opens in a new tab) (6th International Symposium on Academic Makerspaces)
- The compliance of head-mounted industrial PPE by using deep learning object detectors (opens in a new tab) (Nature)
- Guest blog post from Kristen Kehrer, Developer Advocate at CometML
- Improvements to dataset upload speed
- Added Improvements to the Product Onboarding Flow
- Updated the in-app Roboflow Tutorial
- Celebrated 1 year anniversaries for 2 team members
- Welcomed 2 new employees (Growth & Technical Marketer, and Machine Learning Growth Engineer)
- Increased our total number of international employees to 3 (Switzerland, Scotland, and Poland).
- Team meet-ups in Monterrey, CA, Switzerland, San Francisco, CA, Des Moines, IA and Las Vegas, NV




- Opened new positions (come help us democratize computer vision!)
- Conducted UXR sessions
- 24 new discussions on the Roboflow Forum (opens in a new tab)
- 15k+ new Universe projects (opens in a new tab)
- 16 new blog posts
- 3 new YouTube videos (opens in a new tab)
User Research Publications and Projects
- TensorFlow.js Monthly #9: AR Blackjack strategy, perfecting your sports game, and the first Web ML summit (opens in a new tab), Unboxing and Demo of Apple Detection and Counting with SenseCAP K1100 Dev Kit (opens in a new tab), Train YOLOv7 Object Detection on Custom Dataset in Google Colab (YOLOV7 ile Nesne Tespiti) (opens in a new tab), Micro-particle Entrainment From Density Mismatching Mixture by Dip Coating Process (opens in a new tab), Development of an object detection and mask generation software for dynamic beam projection in automotive pixel lighting applications (opens in a new tab), Railway Security System Design Using Unmanned Aerial Vehicle Image Processing and Deep Learning Methods (opens in a new tab), An Intelligent Food Inventory Monitoring System using Machine Learning and Computer Vision (opens in a new tab), DESIGN OF A DETECTION AND ALERT SYSTEM FOR ANIMAL ROAD CROSSINGS (ELEPHANTS) IN ELECTRIC VEHICLES USING COMPUTER VISION (opens in a new tab), Deep learning detector for high precision monitoring of cell encapsulation statistics in microfluidic droplets (opens in a new tab) | karl-gardner/droplet_detection (GitHub) (opens in a new tab), AI Diabetic Retinopathy and Glaucoma Detection With Retinal Images and ResNet34 (opens in a new tab), Marine Object Detection Based on Top-View Scenes Using Deep Learning on Edge Devices (opens in a new tab), Self-Sustaining Planter with Disease Detection (opens in a new tab), Train Object Detection Model for Android & IOS course | Realtime Object Detection | Tensorflow Lite (opens in a new tab), Plastic Detector (opens in a new tab), Plastic Bottle Detector For Lake (opens in a new tab), Custom Instance Segmentation (opens in a new tab), DEVELOPMENT OF A MODEL OF OBJECT RECOGNITION IN IMAGES BASED ON THE «TRANSFER LEARNING» METHOD (opens in a new tab), How to use Gesture Controls with OBS using Computer Vision! (opens in a new tab), Use Roboflow to Train AI Models on Custom Labelled Datasets (opens in a new tab), Annotating images in Roboflow (opens in a new tab), Intelli-Paint: Towards Developing More Human-Intelligible Painting Age (opens in a new tab), Analysis of the problem “Recognition of traffic signs on frames from a car DVR”, Digital Breakthrough (opens in a new tab), (GitHub) ablanco1950/LicensePlate_Labeled_MaxFilters (opens in a new tab), TensorFlow.js Community "Show & Tell" #8 (opens in a new tab), custom object detection by YOLO v7 | v5 and roboflow شرح عربي (opens in a new tab), Custom PyTorch Model with OpenCV Tracking a Laser Pointer (opens in a new tab), Trixi the Librarian (opens in a new tab), Automatic 2D Material Detection in Optical Images using Deep Learning Based Computer Vision (opens in a new tab), #1200 labelme can auto smart select polygon area like roboflow smart polygon? (opens in a new tab), Create AI using tinyML seeed Wio Terminal D51R (opens in a new tab), APPLICATION OF DRONES WITH ARTIFICIAL INTELLIGENCE FOR MILITARY PURPOSES (opens in a new tab), Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis (opens in a new tab), Five things to know about No Code AI (opens in a new tab), TinyML Package Monitor (opens in a new tab), Luxonis OAK running Roboflow model to detect jellyfish (opens in a new tab), Matthew Cicanese (Twitter post) (opens in a new tab)
