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

A tool for creating subset of Open Images V4

Code for Roboflow's How to Create a Synthetic Dataset tutorial.

Includes the YOLO-weight files to detect dolpins

Classify known sites from around the world, given challenging and very big data set. This project is based on a kaggle competition.

👩‍🔧 Convert OpenImages format to TensorFlow-friendly format (converting to VOC with sturcture improvements ✨)

A code snippet to download open images for training

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.

A deep residual network implementation using TF high-level APIs.

Object detection using YOLOv8 models using streamlit web app

Course Project of Advance Machine Learning

The notebook describes the process of downloading selected image classes from the Open Images Dataset using the FiftyOne tool.

"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.