A demo of running a custom object detection model on Raspberry Pi
-
Updated
Sep 14, 2022 - Python
A demo of running a custom object detection model on Raspberry Pi
Detection algorithms and applications from famous papers; simple theory; solid code.
Custom object detection with Tensorflow 1.15 and custom collected & annotated vegetable dataset.
This app allows one to generate tag's for any image. The tags are generated for any object or face. The system is capable of learning new objects and faces on the fly.
Experience seamless license plate recognition with our Python-based project utilizing YOLOv8. Achieve rapid and accurate detection for diverse applications, from security surveillance to traffic management
Garbage Automation Detection
Integrate ML/DL models(Object Detection yolov3) with Flask API for easy & interactive web Interface.
My custom object detection college project work using TensorFlow
Custom object detection using the SVM algorithm.
Add a description, image, and links to the custom-object-detection topic page so that developers can more easily learn about it.
To associate your repository with the custom-object-detection topic, visit your repo's landing page and select "manage topics."