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. (by KaranJagtiani)
labelme2coco
How to create custom COCO data set for instance segmentation (by Tony607)
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| YOLO-Coco-Dataset-Custom-Classes-Extractor | labelme2coco | |
|---|---|---|
| 1 | 1 | |
| 23 | 175 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | over 2 years ago | |
| Python | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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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.
YOLO-Coco-Dataset-Custom-Classes-Extractor
Posts with mentions or reviews of YOLO-Coco-Dataset-Custom-Classes-Extractor.
We have used some of these posts to build our list of alternatives
and similar projects.
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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
labelme2coco
Posts with mentions or reviews of labelme2coco.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Trying to run python script in terminal but getting ImportError for module that is definitely installed.
I'm working on a computer vision image segmentation project and I used LabelMe to annotate some data and am using this script to convert them to coco format.
What are some alternatives?
When comparing YOLO-Coco-Dataset-Custom-Classes-Extractor and labelme2coco you can also consider the following projects:
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
MAX-Object-Detector - Localize and identify multiple objects in a single image.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
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.
YOLO-Coco-Dataset-Custom-Classes-Extractor vs Deep-SORT-YOLOv4
YOLO-Coco-Dataset-Custom-Classes-Extractor vs yolov5
YOLO-Coco-Dataset-Custom-Classes-Extractor vs MAX-Object-Detector
YOLO-Coco-Dataset-Custom-Classes-Extractor vs mmdetection
YOLO-Coco-Dataset-Custom-Classes-Extractor vs review_object_detection_metrics