Shahzeb Ali·Jun 5Beyond Bounding Boxes: How YOLO, CNNs, and Vision Transformers Count Crowds DifferentlyImagine standing above a packed stadium, a busy train station, or a concert venue with thousands of people moving through the scene.
ML Point·Jun 4LocateAnything by Nvidia AIRecent vision-language models rely on a single concept: treating absolutely everything as a text generation problem. Images, user prompts…
Nmngoyal·Dec 18, 2025The Missing Dimension in RAG: Why Text Without Location Breaks AI SystemsMost modern RAG systems are built on a quiet assumption:
Sylvain Tiset·Jun 25, 2025Unboxing GeoJSON: The Language of Location in JSON🌍In the world of geospatial data, GeoJSON has become a go-to standard for representing geographical features and their properties. Whether…A response icon1A response icon1
Shri·Apr 27, 2025Supervised 3D Bounding box detection pipelineThis article will showcase the design and development of an end-to-end 3D bounding box detection pipeline, built using a supervised…
Melek Messoussi·Mar 30, 2025Bounding Boxes Gone Rogue: Why VLMs Are Failing at Creating Bounding Boxes Around Structured Text…Have you ever trust a language model to do an important task, expecting brilliance, only to watch it crash and burn in the most ridiculous…A response icon1A response icon1
Abhishek Jain·Feb 13, 2025Offset in Object DetectionIn object detection, an offset refers to the difference between the location of a predicted bounding box and the location of the ground…
Abhishek Jain·Feb 13, 2025Data Augmentation in Object DetectionData augmentation in object detection is a technique used to artificially increase the size and diversity of our training dataset by…
Abhishek Jain·Jan 9, 2025Formats of bounding boxes in object detectionBounding boxes are a fundamental concept in object detection. They are used to define the location of an object within an image. A bounding…
