yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite (by ultralytics)

Yolov5 Alternatives

Similar projects and alternatives to yolov5

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better yolov5 alternative or higher similarity.

yolov5 reviews and mentions

Posts with mentions or reviews of yolov5. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-12.
  • Changing labels of default YOLOv5 model
    2 projects | /r/learnmachinelearning | 12 Jul 2023
    I am using the default YOLOv5m6 model here with sahi/yolov5 library for my object detection project. I want to change just some of labels - for example when YOLO detects a human, I want it to label the human as "threat", not "person". Is there any way I can do it just changing some code, or I should train the model from scratch by just changing labels?
  • SS: Events triggered no matter the detection zone specified
    2 projects | /r/synology | 3 May 2023
    What I did is hand off my detections to an Nvidia GPU running Yolov5 https://github.com/ultralytics/yolov5 which does the triggering if it's an object class I'm interested in. Since Synology is always caching at least 5 seconds of camera video the 50-100mS delay of grabbing a frame and analyzing before triggering recording is fine. Wish they'd implement something like this.
  • AMD ROCm 5.5 In The Process Of Being Released
    4 projects | /r/Amd | 2 May 2023
    this is about all I could find, maybe you've been getting different degrees of optimized python libs that do the image resizes. https://github.com/ultralytics/yolov5/issues/11469
  • good computer vision or deep learning projects in github
    9 projects | /r/deeplearning | 22 Apr 2023
    YOLOv5 (GitHub: https://github.com/ultralytics/yolov5) is a fast, accurate object detection model with code for training, testing, deployment, and pre-trained weights.
  • [D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
    4 projects | /r/MachineLearning | 18 Apr 2023
    Those dimensions suggest you need to apply (i.e. roll your own) non-max suppresion to the outputs: relevant link
  • Thought Dump About Recent AI Advancements And Palantir
    2 projects | /r/PLTR | 29 Mar 2023
    - YOLOv5 https://github.com/ultralytics/yolov5 (open source, so not Palantir's)
  • How to build computer vision dataset labeling team in-house
    4 projects | dev.to | 28 Mar 2023
    A team of annotators and the infrastructure described in this article I needed to label my dataset, which was collected from cameras on the road (30k+ photos). This dataset was necessary to train an object detection model on six classes: [person, car, bus, bicycle, motorcycle, truck]. I released the dataset, created in this manner, as open source, and it can be downloaded here (link) together with trained YOLOv5s and YOLOv5x models from a popular repository (link) using this dataset. The license is simple: "Use it well"!
  • Flutter Object Detection App + YOLOV5 Model.
    3 projects | dev.to | 15 Feb 2023
    Before you can use YOLOv5 in your Flutter application, you'll need to train the model on your specific dataset. You can use an existing dataset or create your own dataset to train the model. For this post I am using the pretrained model of yolov5 available on https://github.com/ultralytics/yolov5 as we are performing object detection we need to converts the pretrained model weights to torchscript format.
  • NotImplementedError (YOLOv5)
    3 projects | /r/pytorch | 12 Feb 2023
    Thank you Link to the codefor taking the time to reply. I have modified the code as you suggested. And now I see the GPU being utilized. But the precision, recall, mAP is all zero. At least it displays as zero.
  • NVIDIA Jetson AGX Orin is now compatible with balena
    4 projects | dev.to | 9 Feb 2023
    Read more here about how Theia Scientific is currently using the newest NVIDIA Jetson AGX Orin on their fleet of microscopes. Theia Scientific and Volkov Labs, improved the Jetson AGX Orin inference speeds up to 30FPS. The Jetson AGX Orin running YOLOv5 tripled the Frames-per-Second (FPS) compared with the latest Jetson AGX Xavier.
  • A note from our sponsor - WorkOS
    workos.com | 28 Mar 2024
    The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →

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8.9
4 days ago
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