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System Architect Go
System Architect Go
Jul 4, 2024 · Artificial Intelligence

Optimizing Image Search System Architecture with Client‑Side Feature Extraction Using MobileNet

This article explains the architecture of an image‑search system that extracts feature vectors, stores them in a vector database, and performs similarity queries, then proposes an optimized design that offloads feature extraction to a lightweight MobileNet model running in the browser, reducing latency, server load, and component complexity.

Image SearchMobileNetclient-side AI
0 likes · 9 min read
Optimizing Image Search System Architecture with Client‑Side Feature Extraction Using MobileNet
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
May 10, 2024 · Artificial Intelligence

Real-Time Dog Detection in Browser Using TensorFlow.js and MobileNet V2

This guide demonstrates how to build a web‑based real‑time dog detector that accesses the phone camera via the browser, processes video frames with TensorFlow.js and a pre‑trained COCO‑SSD MobileNet V2 model, and plays an audio alert when a dog is recognized, all deployed on an Android device using Termux.

AndroidJavaScriptMobileNet
0 likes · 8 min read
Real-Time Dog Detection in Browser Using TensorFlow.js and MobileNet V2
Python Programming Learning Circle
Python Programming Learning Circle
Feb 28, 2022 · Artificial Intelligence

Integrating MobileNet Series into YOLOv4 for Efficient Object Detection

This guide explains how to replace YOLOv4's CSPdarknet53 backbone with MobileNetV1, V2, or V3 networks, detailing the architecture analysis, code implementations, training setup, dataset preparation, and inference procedures for building a lightweight object detection model.

MobileNetPyTorchYOLOv4
0 likes · 26 min read
Integrating MobileNet Series into YOLOv4 for Efficient Object Detection
DeWu Technology
DeWu Technology
Nov 18, 2021 · Artificial Intelligence

Background Complexity Detection for Sneaker Images Using MobileNet, FPN, and Modified SAM

The project presents a lightweight MobileNet‑FPN architecture enhanced with a modified spatial‑attention module that evaluates corner‑based self‑similarity to classify sneaker photo backgrounds, achieving 96% test accuracy—exceeding baseline CNN performance—and meeting business targets of over 80% hint accuracy and 90% mandatory enforcement.

AttentionCNNMobileNet
0 likes · 12 min read
Background Complexity Detection for Sneaker Images Using MobileNet, FPN, and Modified SAM
HomeTech
HomeTech
Apr 8, 2020 · Artificial Intelligence

Application of Deep Learning for Cover Image Selection in Autohome Forum Articles

This paper presents a deep learning-based approach for selecting cover images in Autohome forum articles, employing Faster R-CNN for object detection, Mask R-CNN for human keypoint detection, and MobileNetV2 for attribute recognition, achieving an overall accuracy of 81.5%.

Cover Image SelectionMobileNetcomputer vision
0 likes · 15 min read
Application of Deep Learning for Cover Image Selection in Autohome Forum Articles