qgis-earthengine-examples VS GeoCOCO

Compare qgis-earthengine-examples vs GeoCOCO and see what are their differences.

GeoCOCO

Tool for converting GIS annotations to Microsoft's Common Objects In Context (COCO) datasets (by jaspersiebring)
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qgis-earthengine-examples GeoCOCO
1 1
844 4
- -
0.0 8.8
over 2 years ago 7 months ago
Python Python
MIT License GNU General Public License v3.0 only
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qgis-earthengine-examples

Posts with mentions or reviews of qgis-earthengine-examples. We have used some of these posts to build our list of alternatives and similar projects.

GeoCOCO

Posts with mentions or reviews of GeoCOCO. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing qgis-earthengine-examples and GeoCOCO you can also consider the following projects:

detectree - Tree detection from aerial imagery in Python

datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Roam - Simple data collection built using QGIS.

WhiteboxTools-ArcGIS - ArcGIS Python Toolbox for WhiteboxTools

qgis-densityanalysis-plugin - QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.

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

RPi-NDVI - NDVI using RPi camera

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

ChangeDetectionRepository - This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.

GTFS-GO - QGIS-Plugin to parse GTFS data, to show and aggregate routes and stops.

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/opencv/cvat]