Data annotation is important step in ML model training process. With data annotation tool you can build a dataset and use it to train or finetune the model. There are Streamlit components available to draw on top of images using canvas. In this video I explain how to use these components. How to run them locally to be able to add changes based on your own functionality requirements.
Streamlit Drawable Canvas:
https://github.com/andfanilo/streamli...
Streamlit Image Labeling:
https://github.com/lit26/streamlit-im...
0:00 Intro
0:58 Streamlit Components
3:15 Drawable Canvas Component
9:55 Drawable Canvas Demo
12:27 Image Labeling Component
15:39 Image Labeling Demo
17:17 Summary
CONNECT:
Subscribe to this YouTube channel
Twitter: / andrejusb
LinkedIn: / andrej-baranovskij
Medium: / andrejusb
#machinelearning #webdevelopment #python
On this page of the site you can watch the video online Streamlit Python/React for Image Annotation with a duration of hours minute second in good quality, which was uploaded by the user Andrej Baranovskij 16 October 2022, share the link with friends and acquaintances, this video has already been watched 4,790 times on youtube and it was liked by 75 viewers. Enjoy your viewing!