Questions tagged [yolo]
YOLO, or You Only Look Once, is a real-time object detection algorithm
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Car Make and Model detection
I am trying to develop a deep learning model that given an image of a car, it detects a car's make and model among 50 different brands, each with say another 50 models. What approach is probably the ...
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Combine Yolo V8?
Let's say I had 3 datasets I wanted to combine to have more data and differentiated data. Here is some examples :
https://universe.roboflow.com/yolo-project/6_class_final/health
https://universe....
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Accuracy difference between 1-channel grayscale and 3-channel grayscale detection model
I have found no similar questions to this online, or answers for that matter.
I am using cameras that output a grayscale image, which I feed into a Yolov8 object detection model (Specifically yolov8m-...
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In Yolo V8 output models how is the best model selected?
The output of Yolo V8 gives two models after the completion of specified epochs. best.pt and last.pt. How is the best.pt model selected. The training outputs several graphs and results png but of all ...
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How can I interpret this YOLOV7 segmentation results plot?
I have the following results plot generated by train.py of YOLO-V7 segmentation:
The problem is that I am not sure how to interpret this plot. For example, to check for overfitting, I need ...
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Object detection on largest number of classes
Does anyone know any pretrained object detection models to run with python with highest number of objects to be recognised? Yolo finds 80 objects, it is good if I can find a larger number. It would be ...
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Need to edit in YOLO Classes
In YOLO v8 I want to only the Person class after that I will want to custom train my object and I have the dataset for that. For example, if I want to train pen and charger I want to give a custom ...
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How can I interpret the results of my loss functions?
I use yolov8 for object detection. The results for my training look like this:
As you can see in general my validation losses are quite higher than my training losses. Here the comparison of box_loss ...
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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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Where exactly in YOLO's architecture is the input image divided into a grid?
I am currently studying the YOLO algorithm for a project. What I'm not quite sure about is where exactly the input image is divided in an SxS grid. After my research on the paper, videos and websites ...
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Model.train( ) returns automatically in YOLO v8
I'm trying to find the best sets of hyperparameters for my YOLO V8 model on my custom dataset with RayTune. I wanted to train the model with model.train() and return some of the evaluation metrics, ...
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How does the background class work in object detection?
I am using YOLOv5 for object detection.
I understand that any labelled classes that are not predicted, that is, false negatives (FN) shows up as background. But how are the false positive (FP) being ...
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Detecting scratches in car surface, may be data drift
I am trying to detect scratches on the car surface using Yolo, I have training images like the one below, and I am getting good mAP (around 0.83) on the validation and test dataset. The training image ...
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YOLO v5 labelling dilemma
let's say I want to detect 3 different types of objects in an image using transfer learning from YOLO v5.
I have only 1 custom input image, with over 2000 labels comprising of all these 3 unique ...
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Who knows yolov8 model's results mean?
I use yolo v8 recently,but I don't know what it's results means.
It's output only 1 bbox and its likelihood,but I want get prediction of other categories.
Can you tell me more about this model?
if ...
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Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
At work, we use Unity, we have a project that needs object detection and classification. We decided to use this YOLO7 model (for non-technical reasons, It had to be this exact same model as the ...
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How do you find the coordinates of the bounding box for meituan Yolov6?
I'm trying to track a runner in a frame and eventually output velocity of the runner. The way that I am trying to do this is by finding the midpoint of the bounding box and then calculate the change ...
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How to label images with no object of interest for an object dection project?
I have an object detection project of two classes (person, animal), and I want to use darknet/yolov4 for it. The images can contain person(s) and/or animal(s), or none of these classes. For example, ...
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How to associate each object in the prediction to its annotated version in YOLOv5?
Imagine we have one image from the COCO validation dataset. This image has 7 annotated objects: knife, carrot, person, table, chair, apple, and orange. When I feed it to YOLOv5, the predictions are ...
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Correct way to create a dataset
I have three completely separated datatsets (first question, is the correct way?) for training, validation and testing with YOLOv7 (getting more pictures is not a problem, I need only to take some ...
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Improving Deep Learning Model to Detect Train Wagon Gaps in Variable Conditions
The original question has been asked here:
https://stackoverflow.com/questions/75897626/improving-deep-learning-model-to-detect-train-wagon-gaps-in-variable-conditions
Our team records video streams ...
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Is it possible to modify YOLOv8 to use it as a feature extractor for other tasks?
I'm reading through the documentation of YOLOv8 here, but I fail to see an easy way to do what I suggest in the title. What I want to do is to load a pretrained YOLOv8 model, create a bigger model ...
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How can I separate and follow the plants that are very similar to each other with the YOLOv5 algorithm?
I want to differentiate between fern and mint using the YOLOv5 algorithm. Now I can take pictures of fern and mint, mark them on LabelImg, and train them in collaboration with Google. However, since ...
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Yolov8 - box_loss and dfl_loss stays at 0. cls_loss converges. Model not giving me bounding box predictions
I'm having trouble using Yolov8 to work properly. I have my own custom dataset and an online dataset that I am using. Yolov8 trains on these datasets. However, the only metric that converges is the ...
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YOLO v1 - explanation of prediction w and h values
YOLO v1 paper says the prediction of width and height are relative to the image.
Does it mean the predicted w is within ...
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Explanation of darknet yolov1.cfg
Background
Going through the original YOLO v1 site to understand the v1 weights that can be downloaded from http://pjreddie.com/media/files/yolov1/yolov1.weights.
This post will guide you through ...
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YOLO - why the 3rd layer has 256 channels instead of 192?
In YOLO v1, how does the 192 channels in the 2nd layer become 256 channels in the 3rd layer? If there are 192 of the 3x3 convolution filter scanning in the 2nd layer, would it result in 192 channels ...
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how to lower false positive ratio on object detection using negative examples
There is a similar question here but the answer is not so clear;
Basically, I have a model that detects only and only "matchbox". However, it has a high false positive ratio specially ...
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YOLO : why does changing the confidence threshold change the [email protected]?
I trained a YOLOv7 model for a detection task. I have only one class, which is the object I want to detect. I ran test.py with --conf-thresh to 0.001 (default) and a second time with --conf-thresh to ...
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Yolov5 model detects everything as cars
I'm facing an issue regarding my yolov5 model to detect cars.
Here is the following procedure I made to train the model:
Downloaded 10000 images from training car dataset (Google Open Images Dataset)....
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KeyError: 'Resize' Error in converting from ONNX model to keras
I am trying to convert an ONNX model to a Keras model using onnx2keras, so that I can implement this: (https://machinelearningmastery.com/stacking-ensemble-for-deep-learning-neural-networks/) stacking ...
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Yolo confusion matrix - Background Class
I am training the yoloV5 model, where, I have two class[object = A and B].
In the dataset, the class B has more samples than class ...
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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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C Drive got filled while training my dataset over yolov5
Asked the question over a cross-validated stack but got recommendations to ask at the data science stack. So, I recently bought a GPU and tried yolov5 on my personal dataset of around 1500 images. ...
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Should I remove objects labeled "unknown" from my test set?
I'm using an object detector (yolo v5) to detect and identify fish in underwater video. I have a labeled data set, but some fish are difficult for the annotator to correctly identify, so they get ...
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Does YOLOv7 pose estimation model output 3D points? ... And, how to get them?
Simple question. Does YOLOv7 pose estimation model output 3D points? ... And, how to get them?
NOTE: I have already run the test.py over custom images (successfully)...
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How many bounding boxes does the YOLOv6 model predict in total before thresholding?
I understand that the YOLOv5 model predicts 25200 bounding boxes between all 3 levels of output. How many does the YOLOv6 model predict, if the input resolution is 640x640?
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What is the effect Cross-Multi-Labeling/Annotation on learning process?
I have a philosophical question regarding training convolution neuronal network. I am work on training NN for purpose of detection of Window and Window blind. This is an issue of cross labels; that is,...
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Understanding the output of Yolo v5
The label output file of the yolo v5 model is something like this:
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DeepSORT features
I'm reading about Detection and Tracking algorithms and I'm unclear about the DeepSORT algorithm:
How does the DeepSORT algorithm gets the features? Does it "hijack" the feature vector from ...
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On-Device Football Detection Model not performing up to the par ; misdetections
I have trained a football detection model. I have so far trained the models using RCNN, SSD (backbone MobileNet), CenterNet and others. SSD and Centernet, so far have been the best in terms of speed ...
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YOLOv5 can't detect object on custom dataset
Context: I'm trying to utilize an object detection model (YOLOv5) to detect damage/defects on cars (dents, scratches, cracks). Right now the goal is to make a minimum viable prototype, a model able to ...
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Object Detection without annotations and labels
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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Is YOLO model using a validation set for pure training purpose?
For what concerns training, validation and test dataset I think there is a little bit of confusion in literature terminology.
I'm using this repo to train a model on custom 9 classes: https://github....
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How to benchmark own model trained by Yolov5
I trained a model with my dataset for object detection - using 1500 samples. Now I'm not pretty sure how to benchmark my model. What is the procedure before using the model? Are the parameters in the ...
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Transfer learning on YOLOv5 for character and shape detection
The task is to detect rotated alphanumeric characters embedded on colored shapes. We will have an aerial view of the object (from a UAS: Unarmed Aerial System), something of this sort:
(One Uppercase ...
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When should one train YOLOv5 on custom dataset or use standard COCO weights?
I am running a YOLOv5 detector on the below video to detect persons in the stream.
It is giving me satisfactory response.
I need to know if I should train the model on my custom dataset, or continue ...
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Algorithms to do a CTRL+F (find object) on an image
We all know the CTRL+F "Find text..." feature in text editors / browsers.
I'd like to study the available algorithms to do something similar on an image.
Example of UI/UX: let's say you have ...
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Object Detection, custom dataset, algorithm [closed]
I'm looking for a solution to detect objects and classify them, using a custom dataset.The overall goal is to detcet objects using my webcam.
So far I've wanted to use YOLO in combination with OpenCV, ...
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Need help in understanding how YOLO works?
In YOLO's original paper, I am quoting the parts I dont understand:
Our system divides the input image into an S × S grid.
If the center of an object falls into a grid cell, that grid cell
is ...
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