ETCI-2021-Competition-on-Flood-Detection
cellpose
| ETCI-2021-Competition-on-Flood-Detection | cellpose | |
|---|---|---|
| 1 | 1 | |
| 150 | 1,181 | |
| - | 4.0% | |
| 1.8 | 9.0 | |
| almost 2 years ago | 24 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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ETCI-2021-Competition-on-Flood-Detection
cellpose
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Meta introduced SAM, how can this change the game?
I've used cellpose in the past to segmebt cells with quite astonishing accurracy. https://github.com/MouseLand/cellpose
What are some alternatives?
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
unet - unet for image segmentation
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
u-track - Multiple-particle tracking designed to (1) track dense particle fields, (2) close gaps in particle trajectories resulting from detection failure, and (3) capture particle merging and splitting events resulting from occlusion or genuine aggregation and dissociation events
Pseudo-Labelling - Pseudo Labelling on MNIST dataset in Tensorflow 2.x
hashformers - Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).
PySyft - Perform data science on data that remains in someone else's server
SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
segment-anything-with-clip - Segment Anything combined with CLIP