What's A Simple Custom Segmentation Pipeline?

• labelme2coco

  1 246 3.8 Python

  A lightweight package for converting your labelme annotations into COCO object detection format.

I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.

• Mask_RCNN

  28 24,119 0.0 Python

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

  

I suggest to check the data generator of matterport MASK RCNN Dataset (line 239) and VIA (vgg image annotator). Simple, potable and pretty light (only html, js and css files)

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• mmsegmentation

  7 7,380 8.6 Python

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  

Mmsegmentation would be a good place to start for basic segmentation. They have lots of recent methods and pretained models you could fine-tune from. They also support quite a few datasets including VOC. There is a custom dataset format which looks straightforward to create.

Suggest a related project