Roboflow Changelog: September 2022
Mohamed TraorePublished Oct 1, 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
- Semantic Segmentation Labeling
- Added an Overlap Slider to Label Assist (opens in a new tab)
Roboflow Train and Deploy
- Instance Segmentation added to the Python Package (opens in a new tab) | Inference Documentation (opens in a new tab)
- Launch: Test Computer Vision Models Locally
Roboflow Universe
- Updated the Roboflow Universe Hero Image
- Universe Search Filtering and Styling Updates
New Tutorials
Projects from New Employees
Other
- Ultralytics YOLO Vision: What Training 10,000 Vision Models Tells Us about Getting to Production with Joseph Nelson (opens in a new tab) | Using CV to Improve Accessibility through Automated Sign Language Captioning with Mohamed Traore (opens in a new tab) | A CV Approach to Quantifying Plastic in the Ocean with Jay Lowe (opens in a new tab) | Bridging AI From Digital to Physical: Real-World AI, Right at the Edge with Elaine Wu (opens in a new tab)
- Object Detection Using YOLOv5 Tutorial - Data Moves Me (opens in a new tab)
- Improvements to dataset upload speed
- Added Improvements to the Product Onboarding Flow
- Updated the in-app Roboflow Tutorial
- Celebrated 1 year anniversaries for 1 team member
- Welcomed 1 new employee (Machine Learning Field Engineer)
- Roboflow Product Team Onsite in Pittsburgh, PA
- Team meetups in San Francisco, CA, and Des Moines, IA
- Conducted UXR sessions
- 23 new discussions on the Roboflow Forum (opens in a new tab)
- 10k+ new Universe projects (opens in a new tab)
- 11 new blog posts
- 3 new YouTube videos (opens in a new tab)
User Research Publications and Projects
- Train Activity Recognition Models Using Spectrograms and Computer Vision, Particle Identification System in Cloud Chamber Using YoloV5 (opens in a new tab), Enhanced pothole detection system using YOLOX algorithm (opens in a new tab), People Detection in an Elevator Car Using Computer Vision (opens in a new tab), Automated Crack Severity Level Detection and Classification for Surface (opens in a new tab), How to train custom object detection model using TensorFlow Object Detection API — Part 2 (opens in a new tab), YOLOv5 Wildfire Smoke Detection with Roboflow and Weights & Biases (opens in a new tab), ROBOFLOW DETECTRON2 İLE GÖRÜNTÜ İŞLEME (opens in a new tab), Real-Time Detection of Objects on Roads for Autonomous Vehicles Using Deep Learning (opens in a new tab), Heavy RF usage for rice leaf disease classification with YOLOv5 (opens in a new tab), AN INTELLIGENT FOOD INVENTORY MONITORING SYSTEM USING MACHINE LEARNING AND COMPUTER VISION (opens in a new tab), 我的NVIDIA开发者之旅—使用NVIDIA TAO和NEMO开发AI应用的埋坑经验-CSDN社区 (opens in a new tab), YOLOv7- Real-time Object Detection at its Best - Analytics Vidhya (opens in a new tab), How to retrain YOLOv7 model with your own dataset? (opens in a new tab), Car Detection and Features Identification Based on YOLOV5 (opens in a new tab), Method description for the lymphocytes and plasma cells detection task (opens in a new tab), Aquarium Fish Classification with Roboflow (opens in a new tab), Intelligent Food Inventory Monitoring System using Machine Learning and Computer Vision (opens in a new tab), Train YOLOv7 Segmentation on Custom Data (opens in a new tab), Object Detection with TensorFlow 2 Object Detection API (opens in a new tab), A YOLO-Deep Learning Algorithm for Improved Detection of Cell Phone Usage in Restricted Places (opens in a new tab), USE OF MULTIPLE LOW COST AUTONOMOUS DRONES FOR HIGH VOLTAGE LINE INSPECTION (opens in a new tab), Object Detection service with YOLO and FastAPI (opens in a new tab), Thai Recipe Retrieval Application Using Convolutional Neural Network (opens in a new tab), Cycle Route Signs Detection Using Deep Learning (opens in a new tab), Plastic Bottle Detector For Lake (opens in a new tab), DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection (opens in a new tab), Snow particle analyzer for simultaneous measurements of snow density and morphology (opens in a new tab), Single Stage Facial Recognition based on YOLOv5 (opens in a new tab), Computational Collective Intelligence (opens in a new tab), Early flash flood warn system (opens in a new tab), BeeO Terminal (opens in a new tab), The compliance of head-mounted industrial PPE by using deep learning object detectors (opens in a new tab), Machine Learning Techniques to Detect Objects with a Meraki MV Camera (opens in a new tab), CartoDx: Mapping Vector-Borne Disease Vulnerabilities in Urban Environments – IAAC Blog (opens in a new tab), An Upgraded-YOLO with Object Augmentation: Mini-UAV Detection Under Low-Visibility Conditions by Improving Deep Neural Networks (opens in a new tab), KeesTalksTech (Twitter thread) (opens in a new tab) / (part 2) (opens in a new tab) / and (part 3) (opens in a new tab)
