Roboflow Changelog: January 2023
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.
Roboflow Organize and Annotate
- More Batch and Job Statistics available via API and Python Package - https://docs.roboflow.com/rest-api
- Dark Mode Added to the Annotate UI
- Annotation History and Annotation-State Rollback Features
- Image Comments, including Comment History and Comment Resolution
Roboflow Train and Deploy
- Launch: Version, Export, and Train Models in the Roboflow Python Package
- Deploy YOLOv8 with Roboflow | YOLOv8 Video and Blog Tutorials Added to Notebooks Repository
- How to Deploy a YOLOv8 Model Using Roboflow and Repl.it
- Deploy Computer Vision Models to Raspberry Pi with Docker
- Deploy YOLOV5 with Roboflow
- Upload Model Weights: YOLOv5 and YOLOv8
- Deploy Roboflow models with the Luxonis Depth SDK
- New Inference Server 2.0 (BETA) Released
Roboflow Universe
awesome-yolov8
GitHub repository
awesome-yolov5
GitHub repository
Roboflow 100
Tutorials and Case Studies
- How Artificial Intelligence is Influencing Video Production
- Collective Communication in Distributed Systems with PyTorch
- What is YOLOv8? The Ultimate Guide.
- Narrate the Contents of a Room with Computer Vision
- How to Count Objects in an Image Using Python
- How to Draw a Bounding Box Prediction Label with Python
- How to Draw a Bounding Box for Computer Vision with Python
- How to Blur a Bounding B0x in Python
- How to Deploy a YOLOv8 Model to a Raspberry Pi
- How to Save Computer Vision Predictions to a Google Sheet
Projects from Blog Contributors
- What is Zero Shot Learning in Computer Vision
- What is an Activation Function? A Complete Guide
- What is a Neural Network? A Deep Dive
Other
- Updates to the Roboflow Landing Page
- Completed "Shipmas!" The release of 12 new features, over 12 working days.
- Conducted UXR sessions
- Enhancements to the user onboarding experience
- Updated the Roboflow Model Library
- New additions to the Computer Vision Templates page to help users with connecting computer vision models to their required personal or business application
- New additions to the Roboflow Learn page to aid users with increasing knowledge in the field of computer vision
- Celebrated 1 year anniversaries for 2 team members
- Roboflow Operations Team Onsite in San Francisco, CA
- Roboflow Lighthouses in San Francisco, CA and Mexico City, Mexico
- Team meet-up in San Francisco, CA
- Welcomed 2 new employees
- Filled positions for a Full Stack Engineer and a Sales Development Representative
- 50 new discussions on the Roboflow Forum
- 15k+ new Universe projects
- 22 new blog posts
- 10 new YouTube videos
Mentioned or Featured
- The All-in Podcast
- Automatic detection of multilayer hexagonal boron nitride in optical images using deep learning-based computer vision (Nature)
- Generalized Decoding for Pixel, Image, and Language (Microsoft Research)
- Don't Be Afraid of Using Machine Learning for Your Startup (Gust)
Partnerships
- Roboflow Collaborates with Intel to Deliver Next Generation Computer Vision Pipeline for Enterprises
User Projects and Shoutouts
- Construction Site Hazards Identification Using Deep Learning and Computer Vision, Smart Grid monitoring through Deep Learning for Image-based Automatic Dial Meter Reading, Blood Cells Counting and Localisation through Deep Learning Object Detection, Sankalp Yadav (LinkedIn), Winning Project at the hackTAMS 2023 (North Texas's Premier High School Hackathon), Josh Pigford, Toolstash (Twitter), A Smart Trap for Counting Olive Moths Based on the Internet of Things and Deep Learning, Cost-Effective Solution for Fallen Tree Recognition Using YOLOX Object Detection, Impact of Intra-class Variance on YOLOv5 Model Performance for Autonomous Navigation around Non-Cooperative Targets | AIAA SciTech Forum, Analysis of ground infrastructure and sensing strategies for all-weather approach and landing in Urban Air Mobility | AIAA SciTech Forum, Detection and Classification of Printed Circuit Boards Using YOLO Algorithm, Automatic detection of multilayer hexagonal boron nitride in optical images using deep learning-based computer vision, Traun Leyden (Twitter), Analysis of ground infrastructure and sensing strategies for all-weather approach and landing in Urban Air Mobility | AIAA SciTech Forum, Impact of Intra-class Variance on YOLOv5 Model Performance for Autonomous Navigation around Non-Cooperative Targets | AIAA SciTech Forum, A Smart Trap for Counting Olive Moths Based on the Internet of Things and Deep Learning, Jo Øvstaas (LinkedIn), Kid's Chair Gets a Robotic Upgrade, Wildfire Smoke Detection with Computer Vision, Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images, Object Detection Using YOLOv5 and Sending Alerts, Pothole Detection using CNN and YOLO v7 Algorithm, Sign Language Alphabets Detection and Recognition | Train YOLOv8 on Custom Data, AI Plays Toadled! YOLOV7 Bot Better Than Human?, Suhail (Twitter Thread), Next Space Flight: NASA Space Flight, How to use YOLO-V8 for custom object detection, Deep Learning-Based Mosquito Quantification to determine Repellency of different compounds, Embedded Deep Learning to Aid the Mobility of Individuals with Disabilities: A Solution for In-house Bus Line Recognition, Collision Detection in Smart-Cities by using Co-Simulation, Parsing Electronic Theses and Dissertations Using Object Detection, Ball and Goal Image Recognition on Humanoid Robot Darwin OP Using Faster Region-Based Convolutional Neural Networks (Faster R-CNN) Method, Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems, Detection and Recognition of Drones using Deep Convolution Neural Networks, Optimization of mmWave radar image classification by YOLOv7 using the Pix2pix architecture, Automatic bone fracture detection in X-ray images using deep learning, John J. Villa (LinkedIn), FridgeSmart, Joel Nadar (LinkedIn), Year in Review: Seeed in 2022 - Latest Open Tech From Seeed, Low-cost and sustainable Pick and Place solution by machine vision assistance, Noam Elbaz (LinkedIn), Kaggle Ships in Google Earth (GitHub), Weekly Robotics Newsletter #229, Object Detection based Approach for an Efficient Video Summarization with System Statistics over Cloud, Number Plate Detection Using Drone Surveillance, Performance analysis of object detection algorithms for robotic welding applications in planar environment, Artificialis (LinkedIn), Data-driven decarbonisation pathways for reducing life cycle GHG emissions from food waste in the hospitality and food service sectors, Smart City Community Watch — Camera-Based Community Watch for Traffic and Illegal Dumping, Computer Vision and AI Predictions for 2023 - OpenCV Ep. 86, University of Michigan, Rising Above the Deluge: Street Level Analysis, SAFEMYRIDES: Application of Decentralized Control Edge-Computing to Ridesharing Monitoring Services, Create a Yolov5 model for the detection of interior furniture in google colab, Augmenting Historical Alphabet Datasets Using Generative Adversarial Networks, Developing an AI Model using Roboflow Custom Data with Yolov5, Two Minute Papers & Stephen Balaban (Twitter), Joel Nadar (Twitter), Clothing image recognition script (Replit), Kristen Kehrer (LinkedIn), Simplify Image Labelling For ML Using Roboflow, Une ia via un simple api avec roboflow (YouTube), @learnwitharobot (Twitter + YouTube), Vision-Based Control Using Object Detection and Depth Estimation for Robotic Pick and Place Tasks in Construction Applications, Towards Edge-Cloud Architectures for Personal Protective Equipment Detection, Handling Severity Levels of Multiple Co-Occurring Cotton Plant Diseases Using Improved YOLOX Model, IMAGE PROCESSING AND IMAGE ANALYSIS OF DEFECTS IN MICROLENS ARRAY USING SMARTPHONE CAMERA AND APPLICATION, Anomaly Detection in Video Surveillance using Object Detection, SIMULATION APPROACH OF DETECTING OBJECT IN SMART ENVIRONMENTS USING 5G MOBILE NETWORK, Detection and Classification of Printed Circuit Boards Using YOLO Algorithm, Towards a Biosignatures Image Detection System for Planetary Exploration with UAVs