antonio-f/TF2_MobileNetV2_TransferLearning

MobileNet V2 transfer learning with TensorFlow 2.

12
/ 100
Experimental

This tool helps you quickly train an image classification model to recognize new categories of images, even with a relatively small dataset. You provide a collection of images organized into folders for different categories, and it outputs a trained model that can classify new, unseen images into those categories. This is ideal for scientists, researchers, or anyone needing to categorize visual data without extensive machine learning expertise.

No commits in the last 6 months.

Use this if you have your own specific set of images you want to teach a computer to recognize, and you need a custom image classifier.

Not ideal if you're looking for an off-the-shelf solution for general image recognition tasks like identifying common objects or faces without custom training.

image-classification visual-data-analysis custom-object-recognition dataset-categorization
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

Language

Jupyter Notebook

License

Last pushed

Oct 15, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/antonio-f/TF2_MobileNetV2_TransferLearning"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.