Overview

The Google Landmark Retrieval 2019 Competition fast.ai Starter Pack is a robust solution designed to help participants easily make their first submissions. Built on the FastAi library, it capitalizes on efficient modeling practices to provide quick results, contrasting with other methods that require extensive training periods. This starter pack is especially beneficial for those looking to navigate the complexities of landmark retrieval with minimal setup.

With clear installation instructions and a structured approach to training and validation, this pack stands out as an excellent resource for both newcomers and experienced practitioners in the field. Whether you are eager to dive into the competition or just looking to refine your skills, this starter pack sets the stage for successful participation.

Features

Easy Installation: Quick setup with clear instructions for installing FastAi version 1.0.47 and the faiss library to ensure smooth operation.
Fast Training Time: Achieve training completion in just 45 minutes, allowing for rapid iterations and submissions compared to traditional methods.
Pre-trained Networks: Utilize pre-trained networks for validation, saving time and optimizing resource use during the initial phases.
Multiple Notebooks: Access various notebooks tailored for different stages, including training, validation, and submission processes, facilitating a comprehensive workflow.
Cluster Labeling: Use clusters as labels instead of subclusters for improved results in model training, enhancing prediction accuracy.
Resource Management: Effective handling of large datasets with considerate warnings about processing time, aiding in better planning for submissions.
Community Support: Benefit from shared resources and insights from other practitioners in the field, fostering collaborative learning and improvement.

Ducha Aiki

Google Retrieval Challenge 2019 Fastai Starter

Ransac Tutorial 2020 Data