Topic: dataset-preparation Goto Github
Some thing interesting about dataset-preparation
Some thing interesting about dataset-preparation
dataset-preparation,This repository utilizes TensorFlow Object Detection API for tomato leaf disease identification, including setup scripts, dataset preparation, model training, TensorFlow Lite conversion, and inference tools. It serves as a guide for efficient disease detection in agriculture.
User: agrigoridou
dataset-preparation,This repository contains code for training a convolutional neural network (CNN) model to classify images.
User: atashnezhad
dataset-preparation,imagepreprocessing
User: cccaaannn
dataset-preparation,Various scripts, mostly intended to help with model training and dataset creation
User: kim2091
dataset-preparation,Repo for bachelor thesis on CSGO encounter predictions
User: kroonhorstdino
dataset-preparation,:rocket: Whenever you need to look through huge pile of images and cannot use force of file explorer, or you just work on a remote headless machine, you can use this tool. It also allows to move files from one folder to another, creating destination if it does not exist. Work in progress.
User: marizombie
dataset-preparation,Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.
Organization: plato-solutions
Home Page: https://plato-solutions.gitbook.io/artifician/
dataset-preparation,In this work, we will detect diabetic retinopathy from retina images. To accomplish that, we will, at first, explore the retina images thoroughly.
User: prasundatta
Home Page: https://www.kaggle.com/competitions/aptos2019-blindness-detection/data
dataset-preparation,This repository presents a project focused on image recognition of nuts and screws using object detection techniques. The objective is to develop a model capable of accurately detecting and classifying nuts and screws in images, enabling automation and quality control in industrial settings.
User: riaj0224
dataset-preparation,DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.
User: robvanvolt
dataset-preparation,A pipeline for machine translation (using OPUS-MT models) of parliamentary text collections in 30+ languages (ParlaMint corpora). The pipeline includes parsing TEI XLM and CONLL-u files, linguistic processing with the Stanza pipeline, machine translation and word alignment with the Eflomal tool.
User: tajakuzman
dataset-preparation,A web-based viewer for selecting dimensions from high-dimensional datasets and viewing them as a 3D cube and pairwise orthographic projections. Created for data exploration and preparation of stimuli for a spatial perception study.
Organization: vialab
dataset-preparation,
User: zahsa
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