review_object_detection_metrics
YOLO-Coco-Dataset-Custom-Classes-Extractor
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review_object_detection_metrics | YOLO-Coco-Dataset-Custom-Classes-Extractor | |
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2 | 1 | |
1,007 | 23 | |
- | - | |
0.0 | 0.0 | |
4 months ago | almost 3 years ago | |
Python | Python | |
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.
review_object_detection_metrics
- How to run PyQt5 applications on Ubuntu (WSLg)?
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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!
YOLO-Coco-Dataset-Custom-Classes-Extractor
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Download specific classes from the Coco Dataset in the Yolo format!
GitHub Repo: https://github.com/KaranJagtiani/YOLO-Coco-Dataset-Custom-Classes-Extractor
What are some alternatives?
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
globox - A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
imageset-viewer - Pascal VOC BBox Viewer
labelme2coco - How to create custom COCO data set for instance segmentation
examples - Learn to create a desktop app with Python and Qt
MAX-Object-Detector - Localize and identify multiple objects in a single image.
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
mmdetection - OpenMMLab Detection Toolbox and Benchmark