pycococreator
coco-viewer
pycococreator | coco-viewer | |
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1 | 1 | |
762 | 159 | |
- | - | |
0.0 | 0.0 | |
20 days ago | 9 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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pycococreator
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How to convert properly annotations to a mask image?
binary_mask_to_polygon from pycococreatortools might work https://github.com/waspinator/pycococreator
coco-viewer
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Any GUI to load labels and the images to verify if the bounding boxes are right?
If your dataset is in a coco format, I had a lot of success with this : https://github.com/trsvchn/coco-viewer
What are some alternatives?
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
cocojson - Utility scripts for COCO json annotation format
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.
synthetic-computer-vision - A list of synthetic dataset and tools for computer vision
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
imageset-viewer - Pascal VOC BBox Viewer