# imfing/keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

Repository: https://github.com/imfing/keras-flask-deploy-webapp
Canonical: https://ross.abutalabs.com/products/keras-flask-deploy-webapp
Language: JavaScript
License: Apache-2.0
License Family: permissive
Topics: keras, tensorflow, flask, deployment, webapp, deep-learning, pre-trained
Last push: 2024-03-24T20:14:23+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3132, "days_push": 892, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1209, forks 461 (observed 2026-08-28T04:03:59.886912+00:00)

## What it is
A minimal, customizable Flask web app template for deploying Keras/TensorFlow image classification models. It ships with a mobile-friendly drag-and-drop UI and Docker support so trained or pre-trained models (VGG, ResNet, DenseNet) can be served in minutes.

## Use cases
- deploy a keras image classifier as a web app
- serve a trained .h5 model over http
- quickly demo a tensorflow model to non-technical users
- build a drag-and-drop image upload prediction page
- dockerize a flask machine learning app
- try pretrained models like vgg or resnet in a browser

## When to choose
- you want the fastest path from a keras model to a shareable web demo
- you need a simple, hackable template to customize with your own model
- you prefer a lightweight vanilla JS/Flask stack over heavier ML UI tools

## When to avoid
- you need production-grade serving with scaling, batching, or monitoring
- you want rich interactive ML demos - gradio or streamlit fit better
- your model is not an image classifier or not built with keras/tensorflow

## Facets
- artifact type: application
- maturity: maintenance
- function: web-framework, machine-learning, image-processing, deployment
- domain: deep-learning, web-development, machine-learning
- platform: python, cross-platform
- tags: keras, tensorflow, flask, image-classifier, model-deployment, template, pre-trained-models, docker, web-server

## Member repositories
- imfing/keras-flask-deploy-webapp (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.886912+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:35.209741+00:00, confidence not recorded.
  - readme: https://github.com/imfing/keras-flask-deploy-webapp (fetched 2026-08-28T04:03:59.886912+00:00, sha 7c658befe8d9)
- Data as of 2026-08-30T08:39:29.467469+00:00.