review_object_detection_metrics VS YOLO-Coco-Dataset-Custom-Classes-Extractor

Compare review_object_detection_metrics vs YOLO-Coco-Dataset-Custom-Classes-Extractor and see what are their differences.

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. (by rafaelpadilla)
Metrics object-detection bounding-boxes pascal-voc pacal-voc-ap coco-dataset coco-api pascal-metrics average-precision mean-average-precision precision-recall
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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)
coco-dataset Yolo Annotations Classes object-detection Download
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review_object_detection_metrics YOLO-Coco-Dataset-Custom-Classes-Extractor
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 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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review_object_detection_metrics

Posts with mentions or reviews of review_object_detection_metrics. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-15.

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.

What are some alternatives?

When comparing review_object_detection_metrics and YOLO-Coco-Dataset-Custom-Classes-Extractor you can also consider the following projects:

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

review_object_detection_metrics vs chitra YOLO-Coco-Dataset-Custom-Classes-Extractor vs Deep-SORT-YOLOv4 review_object_detection_metrics vs globox YOLO-Coco-Dataset-Custom-Classes-Extractor vs yolov5 review_object_detection_metrics vs imageset-viewer YOLO-Coco-Dataset-Custom-Classes-Extractor vs labelme2coco review_object_detection_metrics vs examples YOLO-Coco-Dataset-Custom-Classes-Extractor vs MAX-Object-Detector review_object_detection_metrics vs yolo-tf2 YOLO-Coco-Dataset-Custom-Classes-Extractor vs mmdetection