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roadtrip

RoadTrip Road & Cars AI Detection

https://github.com/ignaciopardo/roadtrip

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.1%) to scientific vocabulary

Keywords

ai flask keras machine-learning pwa python research satellite-imagery tensorflow
Last synced: 6 months ago · JSON representation ·

Repository

RoadTrip Road & Cars AI Detection

Basic Info
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
ai flask keras machine-learning pwa python research satellite-imagery tensorflow
Created almost 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme Funding License Citation

README.md

RoadTrip 🛣 🚙

RoadTrip Road & Cars AI Detection

R&D Project developed by 👥

Ignacio Pardo, Tomislav Separovic, Tomas Spognardi, Valeria Wodka

Made with Satellogic as students @TIC ORT

Original repos 📦

Car Detection Repo
Road Detection Repo

To-Do ✅

  • Re-do desktop front end, scrap old make responsive from mobile (check PWA compatibility)
  • Deployment (Replit and Heorku won't cut it, check Netflify or others, void.ar?)
  • Deployment envs

Links 🌐

Main Site

Documentation

Owner

  • Name: Ignacio Pardo
  • Login: IgnacioPardo
  • Kind: user
  • Location: CABA, Argentina
  • Company: @TIC-ORT

Python <3 Coder & Figma designer | IT Teacher and Student

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: RoadTrip
message: Please cite this software using these metadata.
type: software
authors:
  - given-names: Ignacio
    family-names: Pardo
    email: nacho.ignaciopardo@gmail.com
    orcid: 'https://orcid.org/0000-0001-8837-8099'
  - given-names: Tomas
    family-names: Spognardi
    email: tomas.spognardi@gmail.com
  - given-names: Tomislav
    family-names: Separovic
    email: tomislavseparovic@gmail.com
  - given-names: Valeria
    family-names: Wodka
    email: valewodka@gmail.com
abstract: >-
  Debido a la llamada “democratización del
  espacio”(1),la humanidad dispone de una gran
  cantidad deimágenes satelitales de todo el planeta
  en tiempo real.Estas contienen datos que
  resultarían valiosos paradiversas aplicaciones,
  como la fertilidad del suelo enuna granja, el
  congestionamiento de las calles en unaciudad o
  hasta la detección temprana de incendiosforestales.
  La única razón por la cual no aprovechamosesta
  posibilidad es la falta de métodos eficaces
  paraanalizarlas. Una alternativa sería extraer
  lainformación manualmente, resultaría imposible
  debidoal volumen de la misma. Nuestro proyecto
  consiste endesarrollar herramientas que procesen
  estas imágenesautomáticamente con el objetivo de
  ayudar a mejorarla calidad de vida de la población.
  Para lograrlo,llegamos a un acuerdo de trabajo
  conjunto conSatellogic, una compañía argentina que
  planifica teneruna constelación de 300 satélites
  que generen un mapade la Tierra en tiempo real.
  Ellos nos proveen lasimágenes necesarias para
  entrenar a nuestrosalgoritmos de inteligencia
  artificial.
keywords:
  - 'Machine Learning'
  - 'Research and Development'
  - 'Artificial Intelligence'
  - 'Satellite Imagery'
  - 'Tensorflow'
license: MIT

GitHub Events

Total
Last Year

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 28
  • Total Committers: 3
  • Avg Commits per committer: 9.333
  • Development Distribution Score (DDS): 0.464
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Ignacio Pardo i****o@o****r 15
Ignacio Pardo 6****o 12
Sponja- t****i@g****m 1
Committer Domains (Top 20 + Academic)
ort.edu.ar: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • sponja23 (1)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

cd_requirements.txt pypi
  • keras *
  • matplotlib *
  • numpy *
  • opencv-contrib-python *
  • pyautogui *
  • pyperclip *
  • scikit-image *
  • scikit-learn *
  • scipy *
  • tensorflow *