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Update Train Custom Data wiki page #2187
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👋 Hello @OvidijusParsiunas, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com. RequirementsPython 3.8 or later with all requirements.txt dependencies installed, including $ pip install -r requirements.txt EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit. |
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Pitch
Hey, I'm a big fan of the yolov5 model and congratulations on reaching such a breakthrough!
I was reading the Train Custom Data wiki to familiarise myself with how to get the setup working and noticed you have included some labelling tool suggestions in the 2. Create Labels section. I have recently released a free computer vision based data labelling tool called MyVision which is starting to pick up popularity and was wondering if you could potentially include it in the list as it supports the YOLO format and more.
Website: https://myvision.ai/
Opensource repository location: https://github.com/OvidijusParsiunas/myvision
Thankyou very much and keep up the good work!
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