InMind-Blowing Computer Vision Libraries in Python for 2026byEran Feit·Jul 3Click Any Object, Get a Full Description: Run Nvidia’s Describe Anything Model Locally 🏆Traditional computer vision models are excellent at finding objects, but they are notoriously bad at describing them. If you run a standard…
Christian Chacon·Jun 23The SAM3 AI model found water when statistical threshold models had not detectedHow zero-shot computer vision recovers critical detections across 13 years of satellite imagery, and what it means for water resource…
SO Development·Apr 21SAM 1 vs SAM 2 vs SAM 3: The Complete Evolution of Segment Anything ModelsIntroduction
InObject Detection tutorialsbyEran Feit·Apr 8How to Automate AI Athlete Tracking Without LabelingThe manual annotation of video frames has traditionally been the “dark age” of computer vision, especially when trying to capture the…
Daisuke Majima (MLBoy)·Mar 30I Built a Swift Library to Run Segment Anything Natively on iPhoneI’d wanted this for a while:
Satyamsinoliya·Mar 22Segment Anything (SAM): A Promptable Foundation Model for Image SegmentationImage segmentation is a core problem in computer vision. Whether it’s identifying tumors in medical scans, detecting objects on the road…
InMLWorksbyMayur Jain·Mar 10🚀SAM — A Multimodal Model for Audio SeparationAdvancements to help build the next generation of creative media tools
InImage Segmentation tutorialsbyEran Feit·Feb 7I tried the Ultralytics SAM2 tutorial with YOLO11. Here’s what happened.Ultralytics SAM2 Tutorial, Explained Like You’d Code It
InImage Segmentation tutorialsbyEran Feit·Jan 30One-Click Segment Anything in Python (SAM ViT-H)Segment Anything in Python — Fast, One-Click Results
NeuroCore·Jan 22Where Pre-labeling Helps and Where It Just Makes a MessFoundation models like Segment Anything (SAM) have created a new wave of expectations. The idea is that manual labeling is on its way out…
