sentinel2-cloud-detector VS efficientnet

Compare sentinel2-cloud-detector vs efficientnet and see what are their differences.

sentinel2-cloud-detector

Sentinel Hub Cloud Detector for Sentinel-2 images in Python (by sentinel-hub)
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sentinel2-cloud-detector efficientnet
3 8
390 2,054
2.1% -
5.9 0.0
3 months ago 2 months ago
Python Python
Creative Commons Attribution Share Alike 4.0 Apache License 2.0
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sentinel2-cloud-detector

Posts with mentions or reviews of sentinel2-cloud-detector. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-13.
  • Earth 2020 in 3 seconds, extracted from over 3 petabytes of satellite data | [OC]
    3 projects | /r/dataisbeautiful | 13 Oct 2021
    I'm not exactly sure what you mean by applying QC cloud mask. Do you mean utilizing the official available cloud masks provided by ESA? If yes, then I should mention that we in fact performed our own cloud detection, which is based on a machine-learning approach. (More info [here](https://medium.com/sentinel-hub/improving-cloud-detection-with-machine-learning-c09dc5d7cf13) and [here](https://github.com/sentinel-hub/sentinel2-cloud-detector)).
    3 projects | /r/dataisbeautiful | 13 Oct 2021
    Our cloud detector is open-sourced, you can check out the blog post her, or surf over to the code on GitHub directly!
    3 projects | /r/dataisbeautiful | 13 Oct 2021
    You can find more info in this Jupyter notebook example, the first part is downloading the data (for this you need the account), but if you start later on with the assumption that you bring the data yourself. You can open the ticket if you run into any issues :)

efficientnet

Posts with mentions or reviews of efficientnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-10.

What are some alternatives?

When comparing sentinel2-cloud-detector and efficientnet you can also consider the following projects:

mmpretrain - OpenMMLab Pre-training Toolbox and Benchmark

segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

models - Models and examples built with TensorFlow

PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle

models - A collection of pre-trained, state-of-the-art models in the ONNX format

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

labelImg - LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data. [Moved to: https://github.com/HumanSignal/labelImg]

CeiT - Implementation of Convolutional enhanced image Transformer