Topics / #mask-rcnn

Mask-rcnn projects on GitHub

Instance segmentation model detecting objects with pixel-level masks.

As of , the most-starred Mask-rcnn projects on GitHub are mmdetection (33K stars), deep-learning-for-image-processing (26.4K stars) and Mask_RCNN (25.6K stars). GitHub.Locker tracks 6 Mask-rcnn repositories with 116.8K stars combined. The fastest-growing on October 18 was VisionHOPE, with +33 stars in a day.

6Projects
116.8KStars in total
+39Stars in a day
Browse in the catalog →github.com/topics/mask-rcnn ↗

Hot right now

Most stars gained in a day · Oct 18

+33

VisionHOPE

PSRben/VisionHOPE · ★ 1.3K

VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

+2

deep-learning-for-image-processing

WZMIAOMIAO/deep-learning-for-image-processing · ★ 26.4K

A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

+2

Mask_RCNN

matterport/Mask_RCNN · ★ 25.6K

An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.

+1

mmdetection

open-mmlab/mmdetection · ★ 33K

MMDetection is an open source object detection toolbox built on PyTorch, part of the OpenMMLab project, that supports object detection, instance segmentation, panoptic segmentation, and semi-supervised detection.

The all-time top

6 projects · by stars

  1. #1 · open-mmlab/mmdetection

    mmdetection

    MMDetection is an open source object detection toolbox built on PyTorch, part of the OpenMMLab project, that supports object detection, instance segmentation, panoptic segmentation, and semi-supervised detection.

    33K
  2. #2 · WZMIAOMIAO/deep-learning-for-image-processing

    deep-learning-for-image-processing

    A video-based deep learning course that walks through classic computer-vision architectures for image classification, object detection, segmentation and keypoint detection, pairing each network with a lecture and runnable code.

    26.4K
  3. #3 · matterport/Mask_RCNN

    Mask_RCNN

    An implementation of the Mask R-CNN model on Python 3, Keras and TensorFlow that generates bounding boxes and a segmentation mask for each object instance in an image, built on a Feature Pyramid Network and a ResNet101 backbone.

    25.6K
  1. 4

    Swin-Transformer

    16.1Kmicrosoft/Swin-Transformer · Python

    The official Microsoft implementation of the Swin Transformer paper and its follow-ups: a hierarchical vision Transformer that computes attention with shifted windows and serves as a general-purpose backbone for computer vision tasks.

  2. 5

    PaddleDetection

    14.4KPaddlePaddle/PaddleDetection · Python

    PaddleDetection is an object detection toolkit built on the PaddlePaddle deep learning framework, covering object detection, instance segmentation, multi-object tracking, and keypoint detection.

  3. 6

    VisionHOPE

    1.3KPSRben/VisionHOPE · Python

    VisionHOPE is the official PyTorch implementation of a visual backbone built on self-referential nested learning (SRNL), supporting ImageNet-1K classification, COCO detection/instance segmentation, and ADE20K semantic segmentation.

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