Roboflow Changelog: July & August 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

• Added an Assign tab to make it easier to search for unassigned images
• Added the ability to annotate with Polygons
• Enhanced project card UI to make it easier to understand project information at a glance

• Updated the tutorial flow to remember your progress and added an option to skip the tutorial
• Enhanced API (opens in a new tab) to allow image uploads to a custom batch
• Added a Dataset Search feature to help you filter and find images with text-based search descriptions, filenames, and/or dataset split.

Roboflow Train and Deploy

• Added custom model training guides for YOLOv6, YOLOv7, and YOLOv5 for Classification
• Added Semantic Segmentation as a new project type, annotation, and Roboflow Train option.
• Added support for Raspberry Pi (opens in a new tab)
• Added a Deploy tab to make deployment easier
• Added Edge Tiling as an option for model inference

Roboflow Universe

• Added a Deploy tab to make deployment easier
• Added new aggregate pages for Animals (opens in a new tab), Popular Benchmark datasets (opens in a new tab), Biology (opens in a new tab), Documents (opens in a new tab), Environmental (opens in a new tab), and Retail Item Detection (opens in a new tab)
• Enhanced Universe project card UI

• Enhanced Universe project landing pages to include citations and the ability to search for similar datasets

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Projects from New Interns

• Using Object Detection to Trigger Automated Email Alerts
• Use Raspberry Pi and Luxonis OAK to Deploy Vision Models in Robotics
• How to Deploy YOLOv7 to Jetson Nano

Other

• Onboarding enhancements
• Celebrated 1 year anniversaries for 4 team members
• Created a new Community page to help support the work of students, researchers, and hobbyists with increased storage space, training credits, and other feature additions.
• Hired our first international team member!
• Team meet-ups in Englewood, FL, Iowa City, IA, and San Diego, CA.
• Opened several positions (come help us democratize computer vision!)
• Conducted UXR sessions
• 67 new discussions on the Roboflow Forum (opens in a new tab)
• 10k+ new Universe projects (opens in a new tab)
• 22 new blog posts
• 4 new YouTube videos (opens in a new tab)
• Featured in/by: Robohub (opens in a new tab), Stack Overflow (opens in a new tab), Learn with a robot (opens in a new tab), Import AI (opens in a new tab), The Wall Street Journal (opens in a new tab), Tensorflow (opens in a new tab), Paperspace (opens in a new tab), OpenCV (opens in a new tab), Luxonis (opens in a new tab)
• User projects: Train Yolov 5 with your own data (opens in a new tab), Comparison Of Object Detection Models - to detect recycle logos on tetra packs (opens in a new tab), Allergen30: Detecting Food Items with Possible Allergens Using Deep Learning-Based Computer Vision (opens in a new tab), How to Train a Custom YOLOv5 Object Detector (opens in a new tab), Breast Cancer Detection Using the Jetson Nano and Roboflow AI (opens in a new tab), I'm reprogramming Tesla's software problem for the EU! (opens in a new tab), Computer Vision Based Indoor Rock Climbing Analysis (opens in a new tab), GAN-Based Image Dehazing for Intelligent Weld Shape Classification and Tracing Using Deep Learning (opens in a new tab), Thai Recipe Retrieval Application Using Convolutional Neural Network (opens in a new tab), Railway Fastener Fault Detection using YOLOv5 (opens in a new tab), Analytics on Litter in Glasgow (opens in a new tab), Human Detection in Drone Images Using YOLO for Search-and-Rescue Operations (opens in a new tab), How to make Vector recognize humans (opens in a new tab), How to evaluate Object Detection models for your custom dataset (opens in a new tab), Improved YOLOv5: Efficient Object Detection Using Drone Images under Various Conditions (opens in a new tab), End-to-end deep learning framework for printed circuit board manufacturing defect classification (opens in a new tab), Underwater Plastic Detection (opens in a new tab), Image Classification Step by Step (opens in a new tab), Detection of cattle from using Yolov6 to testing Yolov7 (opens in a new tab), Pothole Detection using YOLOv4 and Darknet (opens in a new tab), Deep Learning-Based Rice Leaf Diseases Detection Using Yolov5 (opens in a new tab), Detecting the Multiple States of Oyster Activity and Orientation using Deep Learning Image Processing and Computer Vision Algorithms (opens in a new tab), Magic of Synthetic Data for Computer Vision Tasks (opens in a new tab), BSc Thesis: The use of ML to assess plant health (opens in a new tab), Converting a custom dataset from COCO format to YOLO format (opens in a new tab), Palo Alto Streets Vehicle Detection and Tracking (opens in a new tab), DOT-HAZMAT: An Android application for detection of hazardous materials (opens in a new tab), Development of a portable toolkit to diagnose coral thermal stress (opens in a new tab), Few-Shot Object Detection with YOLOv5 and Roboflow (opens in a new tab), Deploying Scikit-Learn Models in Android Apps with ONNX (opens in a new tab), [YOLOv7] train the newest Yolo with your custom data (opens in a new tab), ADAS: Collision Avoidance System on Indian Cars (opens in a new tab), Real-Time Oil Leakage Detection on Aftermarket Motorcycle Damping System (opens in a new tab), Automatic classification of textile visual pollutants using deep learning networks (opens in a new tab), Event-Based Object Detection and Tracking - A Traffic Monitoring Use Case (opens in a new tab), Real-Time Road Sign Detection with YOLOv5 (opens in a new tab), Visual Perception for Self-Driving Cars! (opens in a new tab), iOS Golf Ball Detector in 1 hr. (opens in a new tab), A Smart Garbage System for Smart Cities Using Digital Image Processing (opens in a new tab), Deep learning object detection applied to defect recognition of memory modules (opens in a new tab).