Closed brvanvoo closed 10 months ago
Hi @brvanvoo,
This aspect is beyond the scope of the Hand Landmark as explicitly outlined in the model card on page 2 under the section titled "Out-of-Scope Applications.":
- Predicting hand landmarks with gloves or occlusions. For example when the hand is holding objects or there is decoration on the hand including jewelry, tattoo and henna.
Because, our Hand Landmark model is trained specifically for detecting exposed hands. We think MediaPipe Model Maker is a tool that can modify existing machine learning (ML) models to fit your data and applications as guided here and can be adjusted to meet your specific needs.
Right now, you can use MediaPipe Model Maker to train customised models for Object detection, Image classification, Gesture recognition, and Text Classification not for Hand Landmark as outlined here. For now, we think you'll need to train a similar machine learning model to meet your specific needs. Thank you
This issue has been marked stale because it has no recent activity since 7 days. It will be closed if no further activity occurs. Thank you.
This issue was closed due to lack of activity after being marked stale for past 7 days.
I noticed that the hand tracking does not work well when the hands are wearing gloves, specifically the kinds of gloves used by healthcare professionals which often come in a variety of colors.
Is there a software fix for this, or is this a data training and labeling problem?
I have considerable use for the hand tracker in the presence of gloves and would like to work with you to address this issue. Please let me know if we can collaborate on this.