Search Results for "image classification using svm java code"
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22 projects for "image classification using svm java code" with 1 filter applied:
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. ... -
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pdf-inspector
Fast Rust library for PDF inspection, classification
pdf-inspector is a fast Rust library for classifying PDFs and extracting structured text without OCR. It distinguishes text-based, scanned, image-based, and mixed documents while returning confidence scores and pages that may need OCR. Its position-aware parser preserves font data, coordinates, reading order, and multi-column layouts. The converter produces clean Markdown with headings, lists, code blocks, links, page breaks, and formatted tables. It supports CID fonts, several encodings,... -
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ZML
Any model. Any hardware. Zero compromise
...One of its key strengths is cross-compilation, enabling developers to build once and deploy across various platforms without rewriting code. zml provides example implementations of models and workflows, demonstrating how to run inference tasks such as image classification or large language models. It is designed to handle complex distributed setups, including scenarios where model components are split across devices connected via networks. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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GeoTools, the Java GIS toolkit
Toolkit for working with and mapping geospatial data
GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications. -
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fileaxy
Fileaxy does file sync, de-duplication, image matching & bulk preview
Fileaxy is a file de-duplication, organization, synchronization, and bulk previewing tool which utilizes a new user interface for local file management. Using content hashing or machine vision algorithms, Fileaxy can detect identical files as well as similar names, images, videos, or fonts and correlate those to others based on naming conventions. Optionally integrates with ImageMagick, GraphicsMagick, FFmpeg, and Mac Sips file decoding with a simple button click. Fileaxy opens NO network... -
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Cerberus Content Management System 6
Cerberus Content Management System
Cerberus Content Management System is a dynamic, secure and infinitely expandable CMS designed after a Unix-Like model complete with a Unix-Like Kernel File named: Cerberus. It is a custom written Web Application Framework ( W.A.F. ) with a consistent and custom written Pre-Hyper-Text-Post-Processor Programming Code Framework ( P.C.F. ). This Web Application Software Project' aim is to be the fastest and most secure Web Application Framework, Web Application Programming Code Framework, Text,... -
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Detic
Code release for "Detecting Twenty-thousand Classes
Detic (“Detecting Twenty-thousand Classes using Image-level Supervision”) is a large-vocabulary object detector that scales beyond fully annotated datasets by leveraging image-level labels. It decouples localization from classification, training a strong box localizer on standard detection data while learning classifiers from weak supervision and large image-tag corpora. A shared region proposal backbone feeds a flexible classification head that can expand to tens of thousands of categories... -
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PyTorch Handbook
The pytorch handbook is an open source book
PyTorch Handbook is an open-source educational project designed to help developers and researchers quickly learn deep learning using the PyTorch framework. The repository functions as an online handbook that explains how to build, train, and evaluate neural network models using PyTorch. It includes tutorials and examples that demonstrate common deep learning tasks such as image classification, neural network design, model training workflows, and evaluation techniques. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Google Cloud Vision API examples
Sample code for Google Cloud Vision
The cloud-vision repository is a sample code collection for the Google Cloud Vision API that shows developers how to implement image analysis tasks across a wide range of languages and platforms. It contains examples organized by language and environment, including Go, Java, Node.js, PHP, Python, Ruby, .NET, Android, iOS, and even a Chrome extension, which makes it especially valuable as a cross-platform learning resource. The repository demonstrates concrete image understanding use cases,... -
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Machine Learning & Deep Learning
machine learning and deep learning tutorials, articles
Machine Learning & Deep Learning Tutorials is an open-source repository that provides practical tutorials demonstrating how to implement machine learning and deep learning models using popular frameworks such as TensorFlow and PyTorch. The project focuses on helping learners understand machine learning through hands-on coding examples rather than purely theoretical explanations. Each tutorial walks through the process of building and training models for tasks such as image classification,... -
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deep-learning-for-image-processing
deep learning for image processing including classification
Classification topics range from LeNet and AlexNet to ResNet, EfficientNet, Vision Transformer, Swin Transformer, ConvNeXt, and MobileViT. Additional sections cover object detection, semantic segmentation, instance segmentation, and keypoint detection using widely studied models. The project is designed as a learning resource for students and developers who want readable code and guided comparisons across computer vision tasks. -
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Crispy Synced Notes
A note taking program with WebDAV sync
An note taking program with WebDAV sync capabilities. It works on a local (and WebDAV) directory and shows the items (text/image/binary) in a tree view. Any changes are reflected in the file system directly. Features: - group notes and images in a tree structure (using folders) - can work on any directory on your machine - technically works like a file browser with inline text editing - synchronizes with any WebDAV server (optionally using SSL/TLS) - allows one-way and two-way synchronization - allows to encrypt your files locally and remote using AES256 - multi language support You can obtain the full source code at: https://crispy-cow.de/git/CrispySyncNote.git Latest changes: 2.1.0: Updated for Java 9 and up 2.0.2: Added more UI translation, updated greek language (thanks to geogeo) 2.0.1: Bugfix: Sync state is now copied when duplicating workspace due to change in encryption settings -
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Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter... -
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JSiteDescriptor
Binding site descriptor generation for SVM based classification.
A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too). -
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EasyPR
An easy, flexible, and accurate plate recognition project
EasyPR is an open-source license plate recognition system designed to detect and recognize vehicle license plates from images using computer vision and machine learning techniques. The project focuses primarily on recognizing Chinese license plates but also demonstrates general approaches to automatic number plate recognition systems. Built on top of the OpenCV computer vision library, EasyPR provides algorithms for detecting license plate regions in images, segmenting characters, and... -
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. -
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Aspose for Spring.Java
Aspose for Spring.Java provides Aspose API samples for Spring.Java.
Aspose for Spring.Java provides usage samples / sourcecodes for the demonstration of Aspose API for Java by extending famous Spring Java PetClinic Sample Web Application. This extension of "Spring Java PetClinic Sample Web Application" also shows the Integration of Aspose APIs with Spring MVC, JSP and Maven Project. Latest Release: v1.1 -
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Dupless - a duplicate file solution
extract unique file sets from sets with duplicates
Do you have lots of files? I do, particularly image files. There are lots of duplicates and I want to extract a unique set from the larger set. That is what dupless does. Written in Java, using sqlite, it is some simple code that solves the duplicate file problem. All of the code is contained in the .jar file, both source and binary. Currently it writes scripts for use on Linux or Windows. -
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X3DV Module Suite
The X3DV Module Suite is a free set of Netbeans modules to code in X3D
The X3DV Module Suite is a free set of Netbeans modules to code in X3D and VRML, the open standards for interactive and immersive 3D on Internet. With it, you can create virtual worlds in 3D, using the great edition features of Netbeans. This project is not developed since years ago, so you may need to do something to update from Netbeans 6 to modern Netbeans, or use an old version with it. I am in the process of reviewing it and fix it. -
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Not Another Image Viewer
Simple Image Viewer using Java's built-in image handling functions.
Not Another Image Viewer (NAIV) is a java based, platform independent image viewer and database, aimed to carry more features and customisability than other software of the same nature. PS it is free. This was primarily something to keep me occupied and used as a vehicle to learn new things. At this stage the code desperately needs some tidying up. -
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An interactive, graphical bar-code reader that scans an image using the user's scanner and decodes it into digits, placing them on the clipboard. Also generates barcodes from a digit sequence.
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