Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
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Updated
Oct 13, 2024 - Python
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
A Machine Learning Model that classifies the data in the images as Sensitive or Non-sensitive.
📻 Proof-of-concept project for detecting and classifying hyperbolas in ground penetrating radar (GPR) data.
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.
A very simple Random Forest Classifier implementation in python.
A Keras deep learning image classifiers on Django server with REST API | Django 图片识别平台
Detecting Malware in PE files
An image recognition model which is capable of identifying the pattern on a dress image
Natural Language Processing of academic papers for dataset indexing
Deploy image classifier on a static website using javascript.
With some projects to develop "TOOLs" for better Modeling
A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning
Data Science project. ML algorithms to detect voice disorders.
To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description
Generalized linear models for regression and classification problems
A convolutional neural network which classifies music genres based on spectrograms.
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