GUI for marking bounded boxes of objects in images for training neural network YOLO
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Updated
May 12, 2024 - C++
GUI for marking bounded boxes of objects in images for training neural network YOLO
YOLO Series Paper Review and PyTorch Code
Tool used to generate anchor-boxes required for training YOLO networks
YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks
YOLO for object detection tasks
Detecting road objects using YOLO CNN Architecture
Module for detecting traffic lights in the CARLA autonomous driving simulator. Based on the YOLO v2 deep learning object detection model and implemented in keras, using the tensorflow backend.
Annotation Tool with dedicated Yolo Annotation Format Convertor
YoloV2 for bare Raspberry Pi 4 or Rock 5
Ybat - YOLO BBox Annotation Tool
Implementations of some interesting deep learning models.
YOLOV1 to V4 implemented in tensorflow 2 (tf.keras).
This project applies YOLOV2 for car detection using the Keras version from allanzelener/YAD2K.
This system tracks artifacts in museum and triggers alarm if artifact goes missing from the frame.
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
Improvements and additions over the fork of https://github.com/experiencor/keras-yolo2
TensorFlow implementation of a gait prediction system based on computer vision a potential tool for the design of lower limb active prosthesis. It uses YOLOv2 for individual detection, and a human pose estimator built from ResNet-50 and a LSTM as prediction model.
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