There are 2 repositories under open-images-dataset topic.
Fish detection using Open Images Dataset and Tensorflow Object Detection
Code and pre-trained models for Instance Segmentation track in Open Images Dataset
Downsampled Open Images Dataset V4 with 15.4 M bounding boxes for 600 categories on 1.9M images
Automatic License Plate Recognition for Traffic Violation Management made with YOLOv4, Darknet, Tensorflow Lite
Download single or multiple classes from the Open Images V6 dataset (OIDv6)
Generate TFRecord for images downloaded using EscVM/OIDv4_ToolKit
Convert Open Image v6 detection dataset to VOC pasacal format XML. https://github.com/openimages/dataset
Download and visualize single or multiple classes from the huge Open Images v4 dataset
Code for Roboflow's How to Create a Synthetic Dataset tutorial.
Includes the YOLO-weight files to detect dolpins
This repository hosts an Object Detector implemented using YOLOv4. Trained to recognize five classes—Person, Bird, Animal, Building, and Tree—it enables accurate and swift object detection and tracking.
👩🔧 Convert OpenImages format to TensorFlow-friendly format (converting to VOC with sturcture improvements ✨)
Object detection pipeline for fish class trained on Open-Images dataset
Classify known sites from around the world, given challenging and very big data set. This project is based on a kaggle competition.
A code snippet to download open images for training
The notebook describes the process of downloading selected image classes from the Open Images Dataset using the FiftyOne tool.
With this repository, image annotation can be performed for already labaled image on open image dataset
"The goal of this project is to create solution that automate all the preparation process thereby simplifying genraterion of new customized YOLOv4 weights [...]" in Darknet format.
A collection of scripts to download data, train and evaluate an image classifier on Open Images using TensorFlow
Course Project of Advance Machine Learning
downloader for OpenImage dataset