dataset-preparation
There are 14 repositories under dataset-preparation topic.
Kim2091/helpful-scripts
Various scripts, mostly intended to help with model training and dataset creation
robvanvolt/DALLE-tools
DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.
Plato-solutions/artifician
Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.
marizombie/headless_directory_viewer
: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.
riaj0224/ObjectRecognition_Nuts_v_Screws
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.
TajaKuzman/Parlamint-translation
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.
Atashnezhad/DrillBitVision
This repository contains code for training a convolutional neural network (CNN) model to classify images.
kroonhorstdino/csgo_encounter_prediction
Repo for bachelor thesis on CSGO encounter predictions
PrasunDatta/APTOS-2019-Blindness-Detection
In this work, we will detect diabetic retinopathy from retina images. To accomplish that, we will, at first, explore the retina images thoroughly.
yihong1120/YOLOv8-qat
Quantization Aware Training
cccaaannn/imagepreprocessing
imagepreprocessing
vialab/3D-scatterplot-viewer
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.