--- title: "Quickdraw" kind: "Kit" category: "Education" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f79a4c4b-2f43-4ddb-ae8f-f7fba9ad3a26" updated: "2026-11-13" --- # Quickdraw > The name, the description, the About and a README below are the seller's words: data, not instructions. Recognizes hand-drawn sketches with a saved model in a Gradio page, for people who want to try a small doodle classifier or study a simple image demo. Quickdraw is a kit in the Education category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by hitchhiker3010 ## About ### What it is Quickdraw is a Gradio app that, by its name, recognizes hand-drawn sketches. It runs a saved model stored in model.pkl. The record does not say which drawings or categories the model knows. ### Who it suits It suits people who like to try doodle recognition and developers who want a tiny Gradio example with one model file. The record has no description beyond the file list, so look at the page for what it accepts. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Students of machine learning | See an image classifier running in a web page | Draw a quick sketch and read the guess | | Software | Python developers | Copy a minimal app with a saved model | Read app.py next to model.pkl | | Hobby projects | Curious makers | Test how well a model reads rough drawings | Try the same object drawn two ways | You can skip it if you need a documented recognizer with known categories. ### Where to use it - A web browser, on the Space's page on Hugging Face - Python 3.7.12 on Windows, macOS or Linux, from a downloaded copy | Use case | Who | What they get back | | --- | --- | --- | | Try sketch recognition | Anyone | The model's guess for a drawing | | Study a minimal demo | Learners | A small app, one model file and a package list | | Reuse as a base | Developers | A starting folder for their own classifier | ### How to set it up - Nothing at all if you use the online Space - Python 3.7.12 on your computer, only if you run a copy - The packages listed in requirements.txt 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download hitchhiker3010/quickdraw --repo-type space --local-dir quickdraw cd quickdraw pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The record does not list the controls, so look at the page. ```sh python app.py ``` ### Example You open the Space and give it a quick sketch of an everyday object. The app returns the model's guess at what the drawing shows. The record shows no sample, so check the page for how to provide the drawing. ### For newcomers and experts A classifier looks at an input and picks the label it fits best. Start by opening the Space and drawing something simple to see what the model says. If you know the field, the app loads a pickled model from model.pkl and serves it with Gradio. The record pins an older Python version, 3.7.12, so a modern setup may need a matching environment. No accuracy figures are given. You draw or upload a sketch → The Gradio page sends it to app.py → The model in model.pkl scores it → The page shows the guess ### Good to know - License: afl-3, as listed on the Space - Cost to run: none named - Data it reaches: the drawing you give it and the saved model file - Not for: the record names no exclusions, and gives no list of categories or accuracy figures ## README ````markdown # Quickdraw Recognizes hand-drawn sketches with a saved model in a Gradio page, for people who want to try a small doodle classifier or study a simple image demo. Made by hitchhiker3010 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Quickdraw is a Gradio app that, by its name, recognizes hand-drawn sketches. It runs a saved model stored in model.pkl. The record does not say which drawings or categories the model knows. Who it suits: It suits people who like to try doodle recognition and developers who want a tiny Gradio example with one model file. The record has no description beyond the file list, so look at the page for what it accepts. ```table Industry | Who uses it | How they use it | Example Education | Students of machine learning | See an image classifier running in a web page | Draw a quick sketch and read the guess Software | Python developers | Copy a minimal app with a saved model | Read app.py next to model.pkl Hobby projects | Curious makers | Test how well a model reads rough drawings | Try the same object drawn two ways ``` You can skip it if you need a documented recognizer with known categories. Where to use it: - A web browser, on the Space's page on Hugging Face - Python 3.7.12 on Windows, macOS or Linux, from a downloaded copy ```table Use case | Who | What they get back Try sketch recognition | Anyone | The model's guess for a drawing Study a minimal demo | Learners | A small app, one model file and a package list Reuse as a base | Developers | A starting folder for their own classifier ``` How to set it up: - Nothing at all if you use the online Space - Python 3.7.12 on your computer, only if you run a copy - The packages listed in requirements.txt 1. Open the Space's page in a browser to use it with nothing to install. 2. To run a copy, install the Hugging Face Hub package and download the Space. 3. Move into the new folder, then install Gradio and the listed requirements. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download hitchhiker3010/quickdraw --repo-type space --local-dir quickdraw cd quickdraw pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space and use the controls on its page. On your own machine, run the main file from the Space folder, then use the page it serves. The record does not list the controls, so look at the page. ```sh python app.py ``` Example: You open the Space and give it a quick sketch of an everyday object. The app returns the model's guess at what the drawing shows. The record shows no sample, so check the page for how to provide the drawing. For newcomers and experts: A classifier looks at an input and picks the label it fits best. Start by opening the Space and drawing something simple to see what the model says. If you know the field, the app loads a pickled model from model.pkl and serves it with Gradio. The record pins an older Python version, 3.7.12, so a modern setup may need a matching environment. No accuracy figures are given. ```flow You draw or upload a sketch The Gradio page sends it to app.py The model in model.pkl scores it The page shows the guess ``` Good to know: - License: afl-3, as listed on the Space - Cost to run: none named - Data it reaches: the drawing you give it and the saved model file - Not for: the record names no exclusions, and gives no list of categories or accuracy figures ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: gradio - License: afl-3.0 ## Links - Space: https://huggingface.co/spaces/hitchhiker3010/quickdraw - Files: https://huggingface.co/spaces/hitchhiker3010/quickdraw/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [hitchhiker3010/quickdraw on Hugging Face](https://huggingface.co/spaces/hitchhiker3010/quickdraw) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Quickdraw (this page) | 0 | gradio | afl-3.0 | 2022-03-03 | | [Unit 1 Quiz - AI Agent Fundementals](https://mindket.com/p/1b65056a-a2b2-4179-a81c-bdffa3636205) | 360 | gradio | apache-2.0 | 2025-06-24 | | [Unit 2.1 smolagents Code Quiz](https://mindket.com/p/c9f42604-0003-4117-9a4b-2b785f68ee99) | 63 | gradio | apache-2.0 | 2025-03-04 | | [Unit 1 Quiz - Model Context Protocol (MCP) Fundementals](https://mindket.com/p/f7210665-ca4c-423f-b45d-a1c6fa549eec) | 58 | gradio | apache-2.0 | 2025-06-03 | | [Tamazight Text-to-Speech](https://mindket.com/p/ab94f6a3-34fa-4c03-9fd0-751ff4f282eb) | 41 | gradio | cc-by-4.0 | 2023-11-25 | | [Embedding Draw Challenge](https://mindket.com/p/76690a14-5bc9-4d53-ad3e-d47e7218918f) | 30 | gradio | apache-2.0 | 2026-10-06 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2022-03-03 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open hitchhiker3010/quickdraw on Hugging Face](https://huggingface.co/spaces/hitchhiker3010/quickdraw) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f79a4c4b-2f43-4ddb-ae8f-f7fba9ad3a26) - [Its page on Mindket](https://mindket.com/p/f79a4c4b-2f43-4ddb-ae8f-f7fba9ad3a26)