ImageTerrier

Brought to you by: davedupplaw, jonhare, sinjax

Add a Review

Downloads: 0 This Week

Last Update: 2015-02-25

Download

Get an email when there's a new version of ImageTerrier

ImageTerrier is an open-source, scalable, high-performance search engine platform for content-based image retrieval applications. The platform provides a comprehensive test-bed for experimenting with image retrieval techniques.

Project Activity

See All Activity >

Follow ImageTerrier

ImageTerrier Web Site

Other Useful Business Software

Host LLMs in Production With On-Demand GPUs

NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.

Try Free

Rate This Project

User Reviews

Be the first to post a review of ImageTerrier!

Additional Project Details

Registered

2011-04-10

Report inappropriate content

Our Free Plans just got better! | Auth0

With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.

Try free now

Recommended Projects

CNN for Image Retrieval
cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. By leveraging CNN architectures, the project showcases how learned embeddings can capture semantic similarity across varied images. This resource serves as both an educational reference and a foundation for further exploration in image retrieval research.
HashingBaselineForImageRetrieval
Various hashing methods for image retrieval and serves as the baseline
clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
Search-Index
A persistent, network resilient, full text search library
FlagEmbedding
Retrieval and Retrieval-augmented LLMs