Bigger is Better. Or is it? Lessons learned from applying a deep neural network to Twitter posts in order to estimate potentials of using big data to monitor the UN Sustainable Development Goals -- Masters Thesis @GIUB/University of Bern, by Benjamin Schüpbach

Re-implementation of YoloV3 paper in Tensorflow 1.X

This repo contains files for detecting faces zooming in on them and taking photos, using multi threading to optimise performance and the YOLOv3-tiny classifier.

Python script to run k-means clustering on any yolov3 format dataset to find appropriate anchors

Self-driving Restaurant Server Robot

Channel pruning on YOLOv3-TINY

Simple script to create your own .cfg to train a Darknet YOLO model

Raspberry PI <> Spring boot <> web/Android

Software Stack Program (SSP). The process to automate the assessment of Machine Learning (ML) Models.

[RA-L 2022] Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations

toy scripts for training YOLO to detect vehicles for counting purposes

Yolobject è un software per l'Object Detection che utilizza l'algoritmo Yolo. Il software Yolobject è stato testato su Windows con Yolov3 e Yolov3-Tiny. In questo repository è stato caricato con Yolov3-Tiny ma sul sito ufficiale Yolo è possibile reperire i file di Yolov3 e sostituirli con quelli presenti in questo progetto.

Handwritting recognition for some chemistry-related characters. Use yolov3 to cut strokes. Balance chemical equations with valence considered. Generate topological structure and conformation for all isomers of an n-C alkane, enantiomers not considered. Render stick-and ball model of these isomers.

API/CGI commands for system integration for bounding boxes

Trafic participants recognition, localization and classification on real time video.

Scene text detection on Indian scene text data using shallow version of YOLO v3 and v4

augmented reality with sign detection

Bio-net dataset: AI-based diagnostic solutions using peripheral blood smear images

A multiple object detection model trained to segregate recyclable and non-recyclable waste by detecting Glass, Metal, Paper, Plastic and Wood using CNNs and YOLO-v3 algorithm.