Submission Number: 314
Submission ID: 4751
Submission UUID: 7aadcbd5-4735-4663-8cdb-06c037f346da
Submission URI: /form/resource

Created: Thu, 08/29/2024 - 19:23
Completed: Thu, 08/29/2024 - 19:24
Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 52.124.39.58
Submitted by: Felix Lu
Language: English

Is draft: No
Approved: Yes
Title: Gesture Classifier Model using MediaPipe
Category: Docs
Tags:
ai (271), computer-vision (806), visualization (781), image-processing (299)

Skill Level:
Intermediate (305)

Description:
MediaPipe is Google's open-source framework for building multimodal (e.g., video, audio, etc.) machine learning pipelines. It is highly efficient and versatile, making it perfect for tasks like gesture recognition.

This is a tutorial on how to make a custom model for gesture recognition tasks based on the Google MediaPipe API. This tutorial is specifically for video-playback, though could be generalized to image and live-video feed recognition.

Link to Resource:
- Docs (https://mycompay.gitbook.io/mediapipe-custom-gesture-model-tutorial/)

Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)