Training Experiment · Python

YOLOvRestNetvMobileNet

Daffa@DaBabyOx · Atlas 63.4 · #14= builder

What it is

This repository provides an end-to-end pipeline for training and evaluating image classification models (MobileNetV3-Small and ResNet-18) and an object detection model (YOLOv8n) on a medical pill dataset, with a focus on comparing the two classification models.

Scored at4419f518 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

Machine Learning90%
Computer Vision90%
MLOps40%
Data Science30%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

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RankProjectBuilderFieldMerit

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76chatbot-pipelineML Application · PythonThis repository implements an end-to-end intent-based chatbot system using TensorFlow/Keras for model training and Flask for serving. It includes a standard NLP pipeline (tokenization, lemmatization, bag-of-words) and provides instructions for both training from scratch and…50.2/100ImplementationPop AlexandruMachine Learning
77YOLOvRestNetvMobileNetTraining Experiment · Python49.7/100ImplementationDaffaMachine Learning
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What it is

Where it counts

Around it on the Machine Learning board

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