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.

Repo for bachelor thesis on CSGO encounter predictions

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.

Quantization Aware Training

This repository contains code for training a convolutional neural network (CNN) model to classify images.

🚀 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.

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.

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.

In this work, we will detect diabetic retinopathy from retina images. To accomplish that, we will, at first, explore the retina images thoroughly.

Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.

imagepreprocessing

Various scripts, mostly intended to help with model training and dataset creation

DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.