README.md

metadata

title: test
emoji: 🏆
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.30.0
app_file: app.py
pinned: false

Using the provided dataset can you create an accurate and fast Indoor vs Outdoor detection model?

Submission Format

Users must submit their code in a .zip file format. The zip file should include:

-A main.py Python file that contains a function named evaluate

-A user_reqs.txt file listing all dependencies

Main Python File Requirements

-The file must be named main.py

-The main Python script must contain a function named evaluate.

-This function should accept a single parameter: filepath, which represents the file path to the dataset.

-The function should process the dataset and return an array with a length of eight of 0s or 1s, indicating whether a sector is labelled inside or outside.

Requirements File

-The user_reqs.txt file must include all necessary dependencies required to run the submitted code.

Dataset

-There is a dataset available to download here: https://huggingface.co/datasets/IndoorOutdoor/train_data/tree/main

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference