Popular GitHub Repositories for Instance Hardness

OpenMMLab Detection Toolbox and Benchmark

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

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

? 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.

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

?? 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).

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

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

PANet for Instance Segmentation and Object Detection

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

[CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

[CVPR2024 Highlight]GLEE: General Object Foundation Model for Images and Videos at Scale

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]