globox
review_object_detection_metrics
Our great sponsors
| globox | review_object_detection_metrics | |
|---|---|---|
| 1 | 2 | |
| 149 | 1,007 | |
| - | - | |
| 7.3 | 0.0 | |
| 11 days ago | 4 months ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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
-
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!
review_object_detection_metrics
- How to run PyQt5 applications on Ubuntu (WSLg)?
-
Links to papers or books that discuss model evaluation methods for object detection models
This is a good repository for you to start. https://github.com/rafaelpadilla/review_object_detection_metrics Ultimately you would want to compute the precision, recall, average precision, average recall, and mean Average Precision (mAP) that you’ve probably seen in many papers. Good luck!
What are some alternatives?
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'
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
imageset-viewer - Pascal VOC BBox Viewer
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
examples - Learn to create a desktop app with Python and Qt
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
YOLO-Coco-Dataset-Custom-Classes-Extractor - Get specific classes from the Coco Dataset with annotations for the Yolo Object Detection model for building custom object detection models.