GeoCOCO VS datumaro

Compare GeoCOCO vs datumaro and see what are their differences.

GeoCOCO

Tool for converting GIS annotations to Microsoft's Common Objects In Context (COCO) datasets (by jaspersiebring)

datumaro

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets. (by openvinotoolkit)
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GeoCOCO datumaro
1 2
4 486
- 2.5%
8.8 9.4
8 months ago 6 days ago
Python Python
GNU General Public License v3.0 only MIT License
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GeoCOCO

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

datumaro

Posts with mentions or reviews of datumaro. We have used some of these posts to build our list of alternatives and similar projects.
  • Does anyone use CVAT for image annotation?
    1 project | /r/computervision | 18 Apr 2022
    1) CVAT has internal inference for models. If you upload model there in the correct format, then it will be able to generate the detection box itself - https://onepanel.medium.com/train-an-object-detection-model-from-scratch-and-run-inference-on-it-in-10-minutes-16147ef656aa 2) Yes you can upload your prediction. But last time i did it - there were some problems and it took me several hours. It seems to me that you just need to load the markup in one of the formats that it supported by CVAT. If your format is not supported, then you will need to convert. For example like this - https://github.com/openvinotoolkit/datumaro
  • Can I know what kind of dataset annotation for object detection is this?
    1 project | /r/computervision | 22 Jan 2022

What are some alternatives?

When comparing GeoCOCO and datumaro you can also consider the following projects:

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

cocojson - Utility scripts for COCO json annotation format

WhiteboxTools-ArcGIS - ArcGIS Python Toolbox for WhiteboxTools

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

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

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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

DA-RetinaNet - Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

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]

UCF-SST-CitySim1-Dataset - Official github page of UCF SST CitySim Dataset