computer-vision

bounding box prompts, computer-vision, Detection, Gradio, Interactive, interactive segmentation, multi-modal prompting, PCS, point prompts, Prompting, pytorch, sam 3, segment anything model, segmentation, text prompts, tutorial

Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation

Table of Contents Advanced SAM 3: Multi-Modal Prompting and Interactive Segmentation Configuring Your Development Environment Setup and Imports Loading the SAM 3 Model Downloading a Few Images Multi-Text Prompts on a Single Image Batched Inference Using Multiple Text Prompts Across…

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computer-vision, deep-learning, image segmentation, Meta AI, open-vocabulary, PCS, promptable concept segmentation, promptable visual segmentation, Prompting, PVS, sam 3, segment anything, tutorial, vision transformers

SAM 3: Concept-Based Visual Understanding and Segmentation

Table of Contents SAM 3: Concept-Based Visual Understanding and Segmentation The Evolution of Segment Anything: From Geometry to Concepts Core Model Architecture and Technical Components The Perception Encoder (PE) and Vision Backbone The Open-Vocabulary Text and Exemplar Encoders The DETR-Based…

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ai, community, computer-vision, Google AI, LiteRT, Machine Learning, On-device AI, Person Detection, Research, TensorFlow Lite

Introducing Wake Vision: A High-Quality, Large-Scale Dataset for TinyML Computer Vision Applications

Posted by Colby Banbury, Emil Njor, Andrea Mattia Garavagno, Vijay Janapa Reddi – Harvard University

TinyML is an exciting frontier in machine learning, enabling models to run on extremely low-power devices such as microcontrollers and edge dev…

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