Popular GitHub Repositories for Instance Annotation

OpenMMLab Detection Toolbox and Benchmark

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Open source annotation tool for machine learning practitioners.

Effortless data labeling with AI support from Segment Anything and other awesome models.

A simple, fully convolutional model for real-time instance segmentation.

? Open Source Browser API for AI Agents & Apps. Steel Browser is a batteries-included browser instance that lets you automate the web without worrying about infrastructure.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

?? List of satellite image training datasets with annotations for computer vision and deep learning

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

???? (Earlier YOLOv7 not official one) YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! ???

A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase

Unofficial implemention of lanenet model for real time lane detection

Images to inference with no labeling (use foundation models to train supervised models).

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization