labelme2coco
mask-rcnn
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labelme2coco | mask-rcnn | |
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1 | 1 | |
246 | 26 | |
- | - | |
3.8 | 1.8 | |
4 days ago | about 3 years ago | |
Python | MATLAB | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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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.
mask-rcnn
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
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
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
tpu - Reference models and tools for Cloud TPUs.
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
imagefusion_deeplearning - VggML (ICPR 2018, Beijing)
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning