globox
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics. (by laclouis5)
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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globox | datumaro | |
---|---|---|
1 | 2 | |
149 | 485 | |
- | 4.9% | |
7.3 | 9.4 | |
11 days ago | 3 days ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
globox
Posts with mentions or reviews of globox.
We have used some of these posts to build our list of alternatives
and similar projects.
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Package for object detection database management and evaluation
My project is hosted on Github here: https://github.com/laclouis5/globox. Learning is a continuous and never ending process, so feel free to comment my work or propose enhancements. I hope that my modest contribution will help people that were in the same situation as me years ago!
datumaro
Posts with mentions or reviews of datumaro.
We have used some of these posts to build our list of alternatives
and similar projects.
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Does anyone use CVAT for image annotation?
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?
What are some alternatives?
When comparing globox and datumaro you can also consider the following projects:
review_object_detection_metrics - Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
cocojson - Utility scripts for COCO json annotation format