Roboflow Changelog: December 2022

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.

A note on licensing: YOLOv5 is released under AGPL-3.0, which affects commercial use:

• On Roboflow cloud: a commercial license is included for every user, including the free plan.
• Self-hosted: you need an Enterprise license add-on, or you must open-source your application under AGPL-3.0.
• Permissive alternative: RF-DETR (opens in a new tab) is Apache 2.0, free for commercial use anywhere.

Roboflow Organize and Annotate

• Updates to Collaborative Annotations (Filter Annotations Batches by assigned Labeler, Filter Annotation Batches by assigned Reviewer, Labeler Statistics)

• Remapping in Label Assist (opens in a new tab). You now have the option to change the class names for labels when activating label assist. This will ensure the labels applied fit your desired class structure.

• Updates to the Polygon Tool (opens in a new tab) labeling process. We've made it easier to pan on larger images while labeling, and visualize when you're "closing" a polygon.

• Generate dataset versions with the Roboflow python package (opens in a new tab)
• Added a new way to export dataset versions with the Roboflow python package (opens in a new tab)

Roboflow Train and Deploy

• Download images with the Roboflow Command Line Interface (opens in a new tab)
• Train models from Roboflow Universe "Starred" Checkpoints (opens in a new tab)

• Kick off Roboflow Train training jobs with the Roboflow python package (opens in a new tab)

Roboflow Universe

• "Starring" Roboflow Universe projects

Projects from Roboflow Blog Contributors

• Studying Links Between Litter and Socio-Economic Factors with Computer Vision (Gary Blackwood)
• What is Semi-Supervised Learning? A Guide for Beginners. (Petrou Potrimba)
• Computer Vision Assisted Structural Damage Inspection Using Drones
• Monitor Movement in Retail Stores with Computer Vision (Troy Pena (opens in a new tab))
• Preventing Accidents on Construction Sites with Computer Vision (Troy Pena (opens in a new tab))

Other

• Updates to the Roboflow Landing Page
• Started "Shipmas!" Releasing 12 new features, over 12 working days.

• Updates to the in-app Roboflow Tutorial
• Updated the Roboflow Model Library (opens in a new tab)
• Added a new Computer Vision Templates page to help users with connecting computer vision models to their required personal or business application
• Celebrated 1 year anniversaries for 1 team member
• Roboflow Sales and Operating Team Onsite in Austin, TX (along with a few members of the Marketing Team)

• Team meet-ups in Los Angeles, CA and Des Moines, IA

• Welcomed 1 new employee
• Opened new positions (come help us democratize computer vision!)
• Filled positions for a new Full Stack Engineer and Sales Development Representative
• Conducted UXR sessions
• 5 new discussions on the Roboflow Forum (opens in a new tab)
• 15k+ new Universe projects (opens in a new tab)
• 12 new blog posts
• 4 new YouTube videos (opens in a new tab)
• Featured in/by (publications): Faster inference for PyTorch models with OpenVINO Integration with Torch-ORT - Microsoft Open Source Blog (opens in a new tab) (Microsoft)

User Projects

• Efficient imaging and computer vision detection of two cell shapes in young cotton fibers (opens in a new tab), Machine Learning without Coding: Deploy (opens in a new tab), Chris Holland on LinkedIn (opens in a new tab), 2022 Impact Summit: Build an AI-Powered Weather Station with WiFi/LoRa (opens in a new tab), Python | Bypass all CAPTCHA ! Finally !! (opens in a new tab), 현재 심각한 길거리 쓰레기통... 자동으로 분리수거 되는 쓰레기통을 설치 한다면? (opens in a new tab) (Translation: Currently serious street trash cans... What if you install trash cans that separate and collect automatically?), How to Train an Accurate and Efficient Object Detection Model on Any Dataset (opens in a new tab), Finding Instances of Objects in Aerial Images using Earth Vision Small Scale Dataset (opens in a new tab), Precise and Efficient MultiFeature Drone Detection Network (opens in a new tab), Video Camera and Sensor Status Monitoring System in IoT Environments (opens in a new tab), TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection (opens in a new tab), Seeed Studio on LinkedIn (opens in a new tab), VisionAI Automatic Dog Treat Dispenser /wRoboflow and YOLOv5 (opens in a new tab), Yolov4 in White Blood Cell Classification (opens in a new tab), Data Annotation using Roboflow (opens in a new tab), An effective tumor detection in MR brain images based on deep CNN approach: i-YOLOV5 (opens in a new tab), TRACKING THE FLOW OF MOTOR VEHICLES ON THE ROADS WITH YOLOV5 AND DEEPSORT ALGORITHMS (opens in a new tab), Plantar Soft Tissue Stiffness Automatic Estimation in Ultrasound Imaging using Deep learning (opens in a new tab), Michael Baylor, @nextspaceflight (Twitter) (opens in a new tab), Multi-class Detection and Tracking of Intracorporeal Suturing Instrument (opens in a new tab), Atom Scott @AtomJamesScott (Twitter) (opens in a new tab), Training YOLOv6 Model on RF100 Benchmark Dataset - Comparison with YOLOv7 and YOLOv5 (opens in a new tab), A Connective Framework for Safe Human–Robot Collaboration in Cyber-Physical Production Systems (opens in a new tab), Smart Baby Monitoring System using YOLOv7 Algorithm (opens in a new tab), Machine Learning Computer Vision for World of Warcraft Monster Detection using roboflow.com (opens in a new tab), Attendance Verification System by using Anti-spoofing Method based on Deep Learning and Nudge Theory (opens in a new tab), Effectiveness of Machine Learning in Assessing the Diagnostic Quality of Bitewing Radiographs (opens in a new tab), Barnabás Németh Ferenc on LinkedIn (opens in a new tab), Training Yolov7 on Kaggle on Custom Dataset (opens in a new tab), Frigate alternative? (opens in a new tab), Pete Skomoroc - Twitter (opens in a new tab), Systematic literature review: application of deep learning processing technique for fig fruit detection and counting (opens in a new tab), Development of Vehicle Type Detection System on Multi Lane Free Flow Toll E-Collection (opens in a new tab), Detection of Sunflower Plants in UAV Photos (opens in a new tab), Fly-tipping - the predator to the environment and economy (opens in a new tab) - Team “Fire Patrol” from World Artificial Intelligence Competition for Youth (WAICY), Using Computer Vision to Save Sea Lions - OpenCV Weekly Episode 85 (opens in a new tab), Simplify Image Labelling For ML Using Roboflow (opens in a new tab), Towards Fire Identification Model in Satellite Images Using HPC Embedd (opens in a new tab), A Systematic Review on Diabetic Retinopathy Detection Using Deep Learning Techniques (opens in a new tab), Creating a Mask Detection Model on OCI with YOLOv5: Data Labeling with RoboFlow (opens in a new tab) | LinkedIn post (opens in a new tab), Rens ter Weijde - KIM - LinkedIn (opens in a new tab), Green Sorter (GitHub) (opens in a new tab), Oak-D + TouchDesigner Part 04: Run Other Object Detection Models (opens in a new tab), Water Meter Reading for Smart Grid Monitoring (opens in a new tab), Object Detection Using ESP32 Cameras for Quality Control of Steel Components in Manufacturing Structures (opens in a new tab), Towards Fire Identification Model in Satellite Images Using HPC Embedded Systems and AI (opens in a new tab), Automated detection of GFAP-labeled astrocytes in micrographs using YOLOv5 (opens in a new tab), Cattle Detection Occulusion Problem (opens in a new tab), dylanhogg/crazy-awesome-python (opens in a new tab) (GitHub repo), Underwater target detection using deep learning (opens in a new tab), An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living (opens in a new tab), Facial Mask Detection and Energy Monitoring Dashboard Using YOLOv5 and Jetson Nano (opens in a new tab), LoRa-Powered Energy-Effcient Object Detection Mechanism in Edge Computing Nodes (opens in a new tab), Roboflow Video Annotation Tool in 2022 | Roboflow Data Annotation Tool |Roboflow yolov5 and yolov7 (opens in a new tab) (YouTube), Scott Bronkema on LinkedIn: #opencv #yolov7 #roboflow #detroitlions (opens in a new tab), Automatic Number Plate Recognition with Raspberry Pi (opens in a new tab), Learn With a Robot Course (opens in a new tab) (@learnwitharobot, Twitter), roboflowを用いたデータセットのアノテーションのやり方 - Qiita (opens in a new tab), Josh Pigford (opens in a new tab) (@Shpigford, Twitter), Disease detection and physical disorders classification for citrus fruit images using convolutional neural network (opens in a new tab)