instance-segmentation

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.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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 Simple and Versatile Framework for Object Detection and Instance Recognition

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Unofficial implemention of lanenet model for real time lane detection

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

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

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

[ICLR'23 Spotlight] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

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

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/