Yolo_mark
labelImg
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| Yolo_mark | labelImg | |
|---|---|---|
| 6 | 117 | |
| 1,783 | 21,502 | |
| - | - | |
| 10.0 | 0.0 | |
| over 3 years ago | 2 months ago | |
| C++ | Python | |
| The Unlicense | MIT License |
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Yolo_mark
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Way to label yolov7 images fast
I've used Yolo_mark (https://github.com/AlexeyAB/Yolo_mark) with success when needing to label a few hundred thousand images. Its still a manual solution, but there are keyboard shortcuts for navigating between images and classes, and with some practice you can get through a ton of images quite quickly.
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Implementation of YOLO in python or C++?
What are you talking about? Darknet -- where YOLO started! -- is written in C and C++. Check the active repo: https://github.com/AlexeyAB/darknet
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I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.
When YOLOv7 was out, I built a web app to test it against the classic YOLOv4 and shared it with my team, then deployed it online to share with the community.
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HOW to find MOTA and MOTP for MOT evaluation metrics?
Because I need to calculate MOTA and MOTP for the tracking metrics. please anyone with this concept help me as I am beginner to the computer vision. Incase if it helps I am working based on the github https://github.com/AlexeyAB/darknet
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How to improve a YoloV5 model after the first training?
My work heavily involves the use of the yolo algorithm such as optimising it for performance on mobile devices. Yolov5 is made by a private company that has been pushing sub bar models for a while. I've benchmarked their smallest models comparing them to Yolov4 tiny and the results were staggering, v4 being around 3-4 times faster. Yolov4 has way more resources for development, I highly suggest checking out this repo https://github.com/AlexeyAB/darknet
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[D] What are people using to organize large groups of people for data labelling?
YOLO Mark
labelImg
What are some alternatives?
py-motmetrics - :bar_chart: Benchmark multiple object trackers (MOT) in Python
cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]
VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
TensorRT-For-YOLO-Series - tensorrt for yolo series (YOLOv8, YOLOv7, YOLOv6, YOLOv5), nms plugin support
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
videojs-annotation-comments - A plugin for video.js to add support for timeline moment/range comments and annotations
deprecated-core - 🔮 Instill Core contains components for supporting Instill VDP and Instill Model
tensorboard - TensorFlow's Visualization Toolkit
yolov7 - Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥