Muhammad Rizwan Munawar’s Post

FastSAM instance segmentation using Ultralytics 🚀

See past the title of this video, give it a watch and consider how this helps connect what we are doing with synthetic data, forecasting site visits (sales) and market mix models. Our aim is to never compromise the power of MMM when making it accessible and easy. At the same time we need to keep pushing what's possible within the Synthetic Society for marketers. I suppose we should have named this video - Forecasting Retail Visits but then again it was presented at Toronto Machine Learning Society (TMLS) and attendees wants the guts of it.

By utilizing advanced YOLO models for image segmentation and classification, researchers now can solve 100% reCAPTCHA v2. The previous record was 71% at most. I'm not sure if it's good news or bad, but I hate reCAPTCHA v2 🤣 paper: https://lnkd.in/dpyc2M9E

How does molecular structure affect potency? R-group analysis can help you unlock the answers. 🗝️ I recently recorded a demo explaining how single-scaffold R-group analysis can support your understanding of SAR. The example uses Buspirone and explores how you can use a number of different visualisations, including SAR tables, histograms and box plots, to gain insights into your SAR following R-group decomposition in StarDrop.

Learn to run YOLOV9 Object Segmentation Using only 3 Lines of Code. Full guide here: YOLOv9 Object Segmentation https://lnkd.in/dzY2MUPG #computervision

A good overview on the quantization concepts and uses.

AMPLITUDE & PERIOD OF TYHE TRIGONOMETRIC FUNCTION

New tutorial on the Ultralytics COCO Dataset 🔥🔥 The COCO (Common Objects in Context) dataset offers comprehensive data for object detection, segmentation, and captioning. It's a crucial asset for studying diverse object categories and is a standard computer vision model benchmark. In this video, Nicolai Nielsen will showcase using Ultralytics COCO datasets for fine-tuning pre-existing models or creating new ones customized to particular use scenarios. Key highlights 😍 ✅ Key Features of the COCO Dataset ✅ Understanding Dataset Structures ✅ Overview of Dataset YAML Files ✅ How to Utilize Datasets Effectively ✅ Examples of Sample Images and Annotations Watch now ➡️ https://lnkd.in/d5Qkmhap #computervision #youtubetutorial #datasets #yolov8 #objectdetection

#Histogram## A histogram is a type of chart that shows the frequency distribution of data points across a continuous range of numerical values. Example 1:

A bit Sunday's morning - unlike Granger causality which looks for consistent relationships, the causal interactions are rare, special moments - like how a rainstorm suddenly triggers umbrella purchases. Here a bit XLE vs XOM. #Eigenvalue #Method: -Based on geometric interpretation of causality in state space -Uses #Tracy-#Widom distribution for extreme value statistics -Sensitive to structural changes in relationship #Granger #Causality: -Based on predictive power in time domain -Uses F-distribution for statistical testing -Better at detecting persistent relationships https://lnkd.in/dnE_qcy6