Jumping Rivers Ltd’s Post

This tool promises to save time to prepare dataset.

Manual data labeling is (almost) dead! 🔥 🔥 🔥 1,500,000 images auto-annotated with Roboflow within 2 weeks of release. Automatic segmentation labeling is powered by GroundedSAM - a combination of GroundingDINO and Segment Anything. Kudos to the researchers who created GroundingDINO and SAM and, most importantly, made the models available with licenses that enable building around them. This feature is now available to all users, even on free accounts. ⮑ 🔗 read more: https://lnkd.in/dKb_n-5v #computervision #objectdetection #imagesegmentation #openvocabluary #prompt

Manual data labeling is hard work. It's reassuring to know that this step can be automated. I've tried it with Azure Custom Vision and will conduct a second test with Roboflow. My current focus is on understanding the level of labeling accuracy and assessing the effort required for manual review #ml #datalabing #microsoft #roboflow #machinelearning #aws

🤖 Exciting Breakthrough in Machine Learning Data Labeling! 🚀 I am thrilled to share this groundbreaking post with my network! 🌟 Roboflow, a leading platform in machine learning data labeling, has introduced a revolutionary feature that automatically labels data for training ML models. This innovative technology is a game-changer for data scientists and AI enthusiasts everywhere. With this automated data labeling capability, the process of preparing training datasets becomes more efficient and streamlined than ever before. Imagine the time saved and the accuracy achieved when tedious labeling tasks are handled seamlessly by AI algorithms. This development marks a significant step forward in democratizing access to high-quality training data for machine learning applications. It empowers developers to focus more on model experimentation and innovation, rather than getting bogged down in manual labeling processes. I'm truly impressed by Roboflow's dedication to advancing the field of AI and making machine learning more accessible to all. Kudos to the team for this remarkable achievement! Let's continue to push the boundaries of what's possible with AI! 💡 #MachineLearning #AI #DataLabeling #Roboflow #Innovation #TechAdvancements

Parquet format in Navixy’s Raw Data API optimizes telematics data handling with reduced storage, faster queries, and smoother scaling as data grows. 🔹 Save storage costs by using a highly efficient, columnar format. 🔹 Faster insights with efficient, targeted queries. 🔹 Seamlessly scale for large, complex datasets. 👉 Get into the details here: https://bit.ly/3YXDZph #Navixy #Telematics #BigData #Parquet

Ultralytics Utilities | Auto Annotation, Explorer API, and Dataset Conversion 🚀 In this video, we will demonstrate how Ultralytics YOLOv8 utilities can be leveraged to enhance computer vision tasks, including data annotation, data splitting, and converting bounding boxes into various formats. What's covered: ✅ Auto labeling/annotation with YOLOv8 ✅ Seamless COCO to YOLO format conversion ✅ YOLO data explorer walkthrough ✅ Data splitting code walkthrough Watch now ➡️ https://lnkd.in/drbG3nYi #computervision #newtutorial #objectdetection #youtube #yolov8

Trained a YOLOv8 model to detect and count marbles using a custom dataset. Excited to see it in action! #YOLOv8 #ObjectDetection #CustomDataset

View() R function is very helpful if you use Positron 😧 I almost never use the View() function when I use RStudio, but after discovering how useful is in Positon, I now use it all the time. When you use the View() function in RStudio you just see you full dataset, you can sort it, and filter it using the search button. However, with Positron you can also see the data type, the histogram and summary statistics for continuous variables, the frequency bar and unique rate for categorical variables, and you have also a progress bar close by the column name with the percentage of NA values. If you're using Positron, you should definitely try this function to explore your datasets. #rstats #r # #positron #rstudio

Completed Week 7 of @100xDevs Cohort 2! Week 7.3 was a deep dive into Recoil: -> Basics: Atoms, selectors, asynchronous data queries, useRecoilState, useRecoilValue, useSetRecoilState -> Advanced: atomFamily, selectorFamily, useRecoilStateLoadable, useRecoilValueLoadable Excited for what's next! 🚀 Harkirat Singh 100xDevs

🌟 New Look, Same Powerful Data! 🌟 We've given the map legend a visual upgrade, making it even easier to interpret pixel values in your field. Now, you can quickly understand minimum and maximum values at a glance, with clear colour ramps and adjustable "Absolute" or "Relative" scales. Dive deeper into your data! 📊🌱 #AgTech #PrecisionFarming #DataVisualization #SmartFarming #FruitLook