labelme2coco
HugsVision
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labelme2coco | HugsVision | |
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1 | 1 | |
239 | 188 | |
- | - | |
3.9 | 0.0 | |
5 months ago | 8 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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labelme2coco
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What's A Simple Custom Segmentation Pipeline?
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.
HugsVision
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Tracking mentions began in Dec 2020.
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
fashionpedia-api - Python API for Fashionpedia Dataset
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
CoordConv