archook VS GeoCOCO

Compare archook vs GeoCOCO and see what are their differences.

archook

Searches the system for arcgis and makes arcpy available to python (regardless of pythonpath/system path/registry settings) (by JamesRamm)
Arcgis
Source Code
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GeoCOCO

Tool for converting GIS annotations to Microsoft's Common Objects In Context (COCO) datasets (by jaspersiebring)
AI annotation-tool Coco Computer Vision Gis labeling-tool qgis remote-sensing Arcgis Deep Learning Yolo
Source Code
geococo.readthedocs.io
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archook GeoCOCO
1 1
82 4
- -
5.2 8.8
8 months ago 8 months ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
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archook

Posts with mentions or reviews of archook. We have used some of these posts to build our list of alternatives and similar projects.
  • Import Arcpy (Spyder)
    1 project | /r/gis | 31 Dec 2021
    Don’t use Spyder, but I often use this https://github.com/JamesRamm/archook

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 archook and GeoCOCO you can also consider the following projects:

arcade-expressions - ArcGIS Arcade expression templates for all supported profiles in the ArcGIS platform.

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

webhooks-samples - Sample receivers, scripts, and workflows to help you get started with Webhooks in ArcGIS Enterprise

qgis-earthengine-examples - A collection of 300+ Python examples for using Google Earth Engine in QGIS

tpkutils - ArcGIS Tile Package Utilities

WhiteboxTools-ArcGIS - ArcGIS Python Toolbox for WhiteboxTools

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

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

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

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]

tree-labeller - Helps label training data using taxonomy information.

archook vs arcade-expressions GeoCOCO vs datumaro archook vs webhooks-samples GeoCOCO vs qgis-earthengine-examples archook vs tpkutils GeoCOCO vs WhiteboxTools-ArcGIS GeoCOCO vs label-studio GeoCOCO vs sahi GeoCOCO vs labelme2coco GeoCOCO vs cvat GeoCOCO vs tpkutils GeoCOCO vs tree-labeller