NaVIP: An Image-Centric Indoor Navigation Solution for Visually Impaired People

Overview

Welcome to the Dataset Benchmarking Project. Our goal is to provide comprehensive benchmarks for various datasets.

Datasets

Here is a list of datasets we use in our benchmarking project:

Dataset 1 Image Dataset 2 Image Dataset 3 Image Dataset 1 Image Dataset 2 Image Dataset 3 Image

Benchmarks

Our benchmarking methodology includes the following steps:

  1. Step 1: Data Collection
  2. Step 2: Data Preprocessing
  3. Step 3: Model Training
  4. Step 4: Evaluation
Dataset 1 Image Dataset 2 Image Dataset 3 Image Dataset 1 Image Dataset 2 Image Dataset 3 Image

Results

Here are the results of our benchmarking:

Dataset Model Accuracy F1 Score
Dataset 1 Model A 95% 0.90
Dataset 2 Model B 92% 0.85