cocodataset

pytorch implementation of a WACV 2021 Paper "Class-agnostic Few-shot-Object-Counting"

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

A CLI tool can create a specific task-dataset you want based on COCO dataset. Given the annotation JSON file, this tool will help you download the data and set the symbolic links from data_dir to task_dir !!

LabelFree

Image Captioning using CNN and Transformer.

Tool to convert all labelme keypoints file to one single coco keypoints file

Convert the predicted annotated text into voice responses

Automatic Image Captioning using PyTorch on MS COCO dataset

Use the python script to select images contains person in the COCO。

A tool for the conversion from ICDAR to COCO dataset.

YOLOX implemented by pytorch lightning, a simpler expression of pytorch

This repository tackles traffic congestion in smart cities using computer vision. The system automatically detects and classifies vehicles, analyzes traffic density, and dynamically adjusts traffic lights - all to optimize traffic flow!

An object detection model that uses YOLOv5 and OpenCV

Live object detection using MobileNetSSD with OpenCV

Learn Basics First

Pose Estimation using Ultralytics YOLOv8 engine

Here a transfer learning solution for traffic light detection is presented. It uses Mask Region-Based Convolutional Neural Network as it base.

Vehicle Classification and Tracking Using Convolutional Neural Network Based on Darknet Yolo with Coco Dataset

This is PyQt platform where the selected image is processed by using YOLOv3 algorithm and darknet framework.