Code and pre-trained models for Instance Segmentation track in Open Images Dataset
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Updated
Oct 25, 2019 - Python
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
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
👩🔧 Convert OpenImages format to TensorFlow-friendly format (converting to VOC with sturcture improvements ✨)
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.
With this repository, image annotation can be performed for already labaled image on open image dataset
A deep residual network implementation using TF high-level APIs.
Streamlit application for object detection using the YOLOv8 model
A collection of scripts to download data, train and evaluate an image classifier on Open Images using TensorFlow
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