openimages

Object detection on multiple datasets with an automatically learned unified label space.

Open, local-first visual prompt archive with traceable prompt-image references and installable Agent Skills.

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

Scaling Object Detection by Transferring Classification Weights

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

Animals object detection such as deer, horse, and rabbit in diverse settings using YOLOv5

Convert OpenImages labels to be used for YOLOv3

Open Images is a dataset of ~9M images annotated with image-level labels, object bounding boxes, object segmentation masks, visual relationships, and localized narratives.

Training a model for Instance segmentation and object detection with MaskRCNN with TensorFlow on a custom selected dataset from the open image.

Train a custom semantic segmentation model using the Open Images Dataset and IceVision, an object detection framework that runs on top of PyTorch, FastAI, and PyTorch Lighting.

YOLO v3 on OpenImages dataset in CoreML with Vision implemented for iPhone iOS in Swift

Convert openimages v4 dataset to darknet train datas.

Tools to set up and download the dataset + Sample dataset

A quick setup for training and fine tuning a yolo object detection model with open images datasets

Implementations of state-of-the-art object detection models (Faster R-CNN, Mask R-CNN, SSD, RetinaNet, YOLOv3) on subsets of public datasets like COCO, Pascal VOC, OpenImages, and ImageNet.

SugarKubes Public Documentation

Google OpenImages V7 is an open source dataset of 9.2 million images annotated with image-level labels, object bounding boxes, object segmentation masks, and visual relationships.

Tools developed for sampling and downloading subsets of Open Images V5 dataset and joining it with YFCC100M