Roboflow Changelog: November 2022
Mohamed TraorePublished Dec 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.
Roboflow Organize and Annotate
- Added improvements to the Polygon and Smart Polygon labeling tools
Roboflow Train and Deploy
Roboflow Universe
- Published the Roboflow-100 (RF-100) Research Paper, Datasets, and Evaluation Code | Roboflow 100: A New Object Detection Benchmark (YouTube) | Roboflow 100 Benchmarking Tutorial with Google Colab and Docker (YouTube)
- Added over 30 new dataset aggregate pages for different Industries, Categories, and Sub-Categories
New Tutorials
- How to Create Segmentation Masks with Roboflow
- Added more resources to help with learning computer vision:
Projects from New Employees
Projects from Roboflow Blog Contributors
- Top 6 Environment Datasets for Computer Vision Projects
- What is Transfer Learning? A Guide for Beginners.
- Using Computer Vision to Save Sea Lions
- Top 6 Gaming Datasets for Computer Vision Projects
- Top 7 Sports Datasets for Computer Vision Projects
- Detecting and Reading QR Codes Using Computer Vision
Other
- Released the Notebooks repository on GitHub
- Roboflow Team Onsite in New Orleans, LA
- Updates to the in-app Roboflow Tutorial
- Celebrated 1 year anniversaries for 2 team members
- Team meet-ups in Des Moines, IA
- Opened several positions (come help us democratize computer vision!)
- 32 new discussions on the Roboflow Forum
- 15k+ new Universe projects
- 19 new blog posts
- 11 new YouTube videos
- Roboflow-100 research sponsored by Intel
- Featured in/by (publications and webinars): Amazon SageMaker Studio Lab continues to democratize ML with more scale and functionality (Amazon Web Services), Streamlit App to Customize Computer Vision Inference Results (CometML, Cool Data Science Projects Show)
User projects
- Identifying Objects in Multimedia Databases with Computer Vision, Finding Instances of Objects in Aerial Images using Earth Vision Small Scale Dataset, Timothy Malche on LinkedIn | (2), ros2jsguy (Twitter), See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring, Modification of YOLO with GhostNet to Reduce Parameters and Computing Resources for Detecting Acute Lymphoblastic Leukemia, Artificial intelligence-based visual inspection system for structural health monitoring of cultural heritage, Selvaganapathy Senthamaraikannan on LinkedIn, Clemens Behrend on LinkedIn, Seeed Studio Vision AI sensor detect cats, dogs, and person, mallapraveen/Document-Extractor, Meat Freshness Image Classification With OpenCV and Python, KDNuggets (Twitter), Development of species recognition models using, A Real-time Kiwifruit Detection Based on Improved YOLOv7, Allan Ngoma on LinkedIn, Wooden blocks classification using YOLOv5 algorithm, torch, cv2, roboflow, Real-Time On-Tree Coconut Fruit Maturity Detection using Deep Neural Network, Machine Learning without Coding: Upload Images, 513 A Deep Learning Computer Vision Injury Prediction tool (MALTA)-Pilot study, Mohamed Sabek on LinkedIn, Moritz Feuerpfeil (Twitter), AUTOMATIC BONE FRACTURE DETECTION IN X-RAY IMAGES USING DEEP LEARNING, Fruits Classification and Detection Application Using Deep Learning, A cascaded approach for page-object detection in scientific papers, A Comparative Study on Deep Feature Extraction Approaches for Visual Tracking of Industrial Robots, Automatic Recognition of Draft Marks on a Ship’s Board Using Deep Learning System, Detection of Japanese Quails (Coturnix japonica) in Poultry Farms Using YOLOv5 and Detectron2 Faster R-CNN
