Questions tagged [yolo]
For questions related to the family of models known as YOLO (which stands for "You Only Look Once"), which were proposed by Joseph Redmon et al. There are at least three YOLO models (versions 1, 2, and 3).
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Can i integrate yolov5 with svm algorithm
I am currently working on an object detection project. I have already done it with yolov5 and svm separately can i integrate both the algorithm together like YOLO for object localization and detection ...
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How to detect negative (absence of) an object?
I want to detect the people that are NOT wearing PPE vests using a pre-trained object detection model like YOLO or Grounding Dino.
The models are able to detect people and vests separately, but I am ...
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How to run our python scripts utilizing our device's GPU? [closed]
My laptop has NVIDIA GeForce GTX1650 GPU. I want to utilize this GPU to run my Python script. Any help in the form of code would be really helpful. I mean tried researching this so much but I couldn't ...
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Training YOLO on YOLO results
I have a large unlabelled dataset. What if I use YOLO to label it? Will this dataset be useful to train a better YOLO model? What if I then finetune it on a smaller labelled dataset? My usecase ...
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YoloV5 Calibration
I'm currently tackling the task of calibrating object detection models specifically tailored for medical imaging applications. Despite extensive online research, I've encountered difficulties in ...
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Yolo object detection metrics
I have made some predictions and saved the results to YOLO format. Then I made a program to calculate metrics, every metric looks fine except Precision/Confidence curve. I guess the flatline at the ...
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YOLOv1 doesn't work for custom dataset
I am currently trying to train my own YOLOv1 network, based on this repository:
https://github.com/ivanwhaf/yolov1-pytorch
The images I want to train look like this:
Three classes I want to detect:
...
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Why YOLOv7 not detecting small objects
I am using YOLOv7 trained on custom dataset, and using the model weights after converting to ONNX for CVAT annotation. There it's only predicting few small objects. Is there any limit on small object ...
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How to track arbitrary object picked by mouse using YOLO?
We can track human, car, animal, etc using YOLO V8.
In order to track object, the model has to be trained on target objects.
But I have to track arbitrary objects picked by mouse on a video.
Since the ...
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Autodistill: Train YOLOv8 with ZERO Annotations
I'm trying to create a distilled model of SAM
https://colab.research.google.com/drive/1PKc5x1XjxOPP-2msFp6uMSULvnm9dorw?usp=sharing
I'm able to label the data and train, but the predict doesn't find ...
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Yolov8 with key points detection without object detection
I have a project where the data is annotated with key points without any bounding boxes. If I want only the key points without the bounding box around the object, is that possible or each object ...
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Can DeepSort be made to track objects beside people?
As far as my understanding goes, the model used for feature extraction in DeepSort is specified as the first argument of the function create_box_encoder in the file ...
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Unexpected improvements in model
I have a poor dataset, where of the training data has a single object labelled in the image.
Same for the validation set even though I reserved the best (more general and well labelled) to then select ...
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Should I label every frames from videos that I want to train my model to?
I want to build a model that can detect the chords that are being played on a guitar. Now I am planning to build it using YOLOv8 and annotate the frames using CVAT. Now I also have seen the tutorials ...
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How to extract the high-level features of YOLOv5?
I am faimilar with extracting the high-level features from any pretrained model for classification problem such as ResNet version, VGG, etc. It is easy to extract the features because there is a fully ...
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Help on Object-Detection Task - Detection of Cracks on Walls (Pre-Trained Models etc.)
I'm member of a University Project Team in D.U.Th., a university in Greece.
Lately, we have been trying to implement a Neural Network Model for our Project and, so far, we have had some progress worth ...
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When to stop training object detection network, while taking into the acount 3 factors: loss ,validation loss, mAP
as far as I know, and as can be seen here
enter link description here
it is quite clear that it is better to stop at the "turning point" where the validation loss starts growing.
What I do ...
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How to balance classes for YOLO?
The problem I am having is that to my understanding we need to annotate all objects of all classes on the images we want to train (or fine tune) our YOLO on. This is because YOLO compares labeled ...
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NN Architecture for the detection of "sparse" Objects
I have a document digitalization task where I want to detect technical drawings from images. These Images mostly consist of objects made up of combination of shapes like lines, circles and rectangles. ...
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Is there any way to change the YOLO algorithm's feature extractor with DenseNet?
Is there any way to change the YOLO algorithm's feature extractor with DenseNet?
I saw that Circular Bounding Boxes could be used instead of Rectangular Bounding Boxes. How would you change the data ...
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Are there computer vision models that can learn long range dependencies on features outside bounding box of an object in an image?
I am trying to solve a problem that has to do with extracting the major vitals from an ICU monitor, that includes HR, RR, Sys-Dia, MAP etc. (The large numbers on the screen as a crude rule). The ...
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YOLO v1 confidence score during inference
I am studying the paper of Yolo v1. For the training part, everything is clear to me.
I cannot understand how does the confidence works during the inference stage, since Pr(Object) and ground truth ...
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Training YOLO - networks: Is it possible to detect multiple objects while training with single-object data only?
I am currently training a YOLO network in which objects are to be recognized. The data I am using is artificially generated.
So far, my training data set consists of images with one object and its ...
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YOLOv7 fine tuning with unbalanced dataset
I have a question about training object detection models especially using the YOLOv7 algorithm.
I use a Soccer Players Dataset from the Roboflow. The dataset is very unbalanced.
I trained the model ...
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Fine-tuning YOLO on a custom dataset in darknet framework
I would like to fine-tune a YOLOv4 pre-trained model on a new dataset that has only 1 class I would like YOLOv4 to be able to detect, which is ambulance vehicle.
The first step is to find a pre-...
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Is it possible to create a distance estimation model from something like the KITTI dataset?
I am unsure about how to word this question correctly, edits appreciated.
I am trying to create a neural network model that can predict distance from camera feed. And I am doing it by feeding actual ...
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Yolov7 change area of detection
I'm using yolo to detect cars that enter my street. I recently ordered a new camera to upgrade my setup. But i didn't thaught about the fact that higher resolution meant lower performance. And ...
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Using GANs to generate data augmentations for YOLOv5
I was building a YOLOv5 object detection model, and was looking into researching synthetic methods like GANs to increase the size of my training set in an unsupervised manner.
I know that few-shot ...
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Split dataset into Train/Validation/Test for Object Detection
I have a dataset for Object Detection with YOLO format labels, each imagine can have occurences of different classes and multiple occurences of the same class.
How can the dataset be divided into ...
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Taxonomy of terms in DL [closed]
I am trying to teach myself DL and among other difficulties I found it quite challenging to structurize a very basic terminology vocabulary especially when it includes not only theoretical stuff but ...
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Can YOLOv3 architecture be clearly separated into feature extractor and classifier parts?
I am new to machine learning and am confused about whether its architecture has clearly defined boundaries which demarcate the feature extraction and classification part. Or is it that it classifies ...
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Darknet as a part of Yolo v3
I am pretty new to ML and my question may look strange. Especially the last part of it.
1)As far as I understand Darknet53 is an integral part of Yolo just as Resnet50 is a part of R-CNN Am I right?
2)...
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Training with extremely imbalanced Dataset
I have a object detection problem which has extremely imbalanced dataset. Lets say there is only one class to detect, say apple or not apple. This detection network will be used in a real case ...
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What object detection algorithm is the best for my particular problem?
I am trying to write a program to put a bounding box around dead fish, and not the live ones, in a video. I have minimal data (~5k frames and ~7k objects in total ) and it is VERY low quality (poor ...
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How does YOLO detect the object when the object is in multiple grid cells?
I have been reading various articles and watching videos on YouTube, but I can't seem to understand one thing.
How does YOLO make a bounding box for an object if it is in multiple grid cells? For ...
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How to identify and diferentiate several edge lines of an object?
I want to create an AI to detect and identify certain edge lines on my image. The input image is a locker key, and I want to know the exact position of certain edges.
Sample input image:
Sample ...
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Object Classification: How to decide which detected region is a RoI for classification?
I am working on a project where I am working on the Flickr-47 dataset to do logo detection and classification. My approach is to first finetune a YOLO v5 model with high recall to detect as many "...
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For an image (of any object), how to find its location in the other image(s) which contains it, given there are no labels or annotations for any image
Problem Statement:
I am given 2 sets of images. All the images in both sets are without annotations and labels.
First set : a set of images of the grocery store shelves (captured in the grocery stores)...
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Performance of augmented dataset with or without original images
I am training on yolo and I had a small dataset. I decided to increase it by augmenting it with rotation, shearing, etc to increase the size and increase accuracy.
Now I have seen augmented datasets ...
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YOLO - are the anchor boxes used only in training?
another question in YOLO.
I've red about how YOLO adjusts anchor boxes by offsets to create the final bounding boxes.
What I do not understand, is when YOLO does it.
Is it being done only during the ...
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YOLO - does the Intersection over Union is actually a part of Non Maximum Suppresion
In the Stack Overflow thread Intersection Over Union (IOU) ground truth in YOLO they say that in YOLO actually the IoU (intersection over union) is used twice:
during training to compare ground truth ...
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Are the output dimensions of the first and second convolutional layer in YOLO paper correct?
I was reading the last version of the YOLO paper available in Arxiv, and I don't fully understand the output dimensions (I understand width and height, but not depth) of the first and second ...
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Multiple labels for the same rectbox?
My goal is to identify the horse in a photo. I'm dealing with about 500 unique horses.
My feeling is that the best way to distinguish one horse from another is by its face. So I trained Yolov5 ...
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Different equations for Yolov3 in courses/ articles and Darknet GitHub code?
I am confused by the equations for bounding boxes I find online. Some articles say that
box_width = anchor_width * exp(residual_value_of_box_width))
and the ...
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In anchor based object detection, why don't the anchors share the same weights?
After reading about YOLO V3 and Faster R-CNN, I don't understand why the weights for the regression head aren't the same across all boxes of the same size. Given that the backbone of these systems is ...
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Should I label static objects on video dataset?
I'm using nvidia Transfer Learning Toolkit to detect cars in some video frames.
I found some dataset (for example https://www.jpjodoin.com/urbantracker/dataset.html and https://www.kaggle.com/...
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Object Detection: Can I modify this script to support larger images (Scaled YOLOv4)?
I am looking at training the Scaled YOLOv4 on TensorFlow 2.x, as can be found at this link. I plan to collect the imagery, annotate the objects within the image in VOC format, and then use these ...
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Preparing data set for the YOLO algorithm
Hi I am working on a project which requires the You Only Look Once algorithm in order to classify and localise objects within images. I have to prepare my dataset (which has 2 classes, and predicts 6 ...
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What are the main differences between YOLOv3 and RetinaNet object detection algorithms?
I am looking at a certain project that compares performance on a certain dataset for an object detection problem using YOLOv3 and RetinaNet (or the "SSD_ResNet50_FPN" from TF Model Zoo). ...
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How to treat (label and process) edge case inputs in machine learning?
In every computer vision project, I struggle with labeling guidelines for border cases. Benchmark datasets don't have this problem, because they are 'cleaned', but in real life unsure cases often ...
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