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Questions tagged [computer-vision]

Computer Vision is a subfield of computer science which deals with analyzing and understanding images. This includes detection of objects like faces in images or segmenting images.

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In Swin-Transformer, Is each token (to-embedding) value an integer?

Swin-Transformer transform the image to tokens to input to transformer. Is each token (before-embedding) value an integer? In practice, where is this done? https://github.com/microsoft/Swin-...
CoderOnly's user avatar
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Losing Information while resizing the image in Segmentation task using U-net

I'm using U-net architecture to build a segmentation task of image. During training I have image of size 256256 image. It works very well on the segmentation of same size 256256 or near to size 256*...
Akshit Dhillon's user avatar
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How do I ensure final output shape matches input shape for a semantic segmentation task?

I trying to replicate the semantic segmentation example https://keras.io/examples/vision/oxford_pets_image_segmentation/ but train on my own data. I have 8 labels (7 features + background). My images ...
utx7563yu's user avatar
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Trying to train a denoising autoencoder to restore missing information from a binary image

I am building a denoising autoencoder to repaint lanes from a binary image. The input is a binary image that has incomplete lanes, due to vehicles getting in the way. I repaint the lanes manually so ...
Kaif Ibrahim's user avatar
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Saliency Mesh Computation/Interest Point Detection in Python

I want to calculate salient vertices in a 3D mesh, meaning those points, that are of interest. This paper https://doi.org/10.1007/s00371-015-1199-3 describes well, what I would like to achieve. ...
julianmueller's user avatar
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Trained model on cifar10 performs poorly on real images

So I'm trying to train a model using the CIFAR10 dataset. The problem is that while the performance of the model on validation and test sets are good (about 95-96%), the model fails to predict images ...
AlbertDang's user avatar
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Character-wise accuracy for image-to-text models

is it possible to enforce image-to-text models like ViT or a simple CNN+Transformer to achieve character-wise accuracy? Here's the context of my project: I am developing a model to extract some ...
CarlV's user avatar
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Enhancing Soil Moisture Predictions Using Multimodal Data Integration in Agriculture

I am exploring an interdisciplinary research area involving multimodal data, focusing on agriculture. My study incorporates both visual and tabular data: crop and soil images from three distinct ...
Md Rakib's user avatar
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Is there any standard or heuristic for deciding on the dimensions and filters of a convolution layer for image processing?

I reposted this from StackOverflow since it does not meet StackOverflow's guideline to focus on programming and coding questions. Link to the original question. I want to find ways other than trial ...
Joachim Rives's user avatar
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How to solve imbalanced dataset oversampling problem in multi labels-classes instance segmentation task?

I want to use models YOLOv7-seg for instance segmentation of tree species in images. There are 26 species of trees, and each image may contain multiple species. There is a distinction between dominant ...
yuga555's user avatar
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Find closest color class to an RGB value

I have a module that estimates the color of an object and returns an RGB value in this format: (40, 48, 68) which corresponds to this color: Now I have to classify ...
Mary's user avatar
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Trip/Hazard/Fall Dataset

I'm working on a project that involves describing/detecting 3 main situations from an image. First, if there's a trip hazard or o potential situation that could result in a fall, for example someone ...
Ricardo Mezarina's user avatar
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Optimizing ViT-B-16 Transformer Training: How to Accelerate Training Time

I am attempting to fine-tune the ViT-B-16 transformer on the ImageNet and SUN397 datasets. However, it currently requires at least 2 days to run for 15 epochs, and I also need to fine-tune the ...
phantrang's user avatar
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Best cloud provider for Computer Vision in 2024. (Market relevant)

So I am currently unemployed, I am an ML engineer, Computer Vision focused. I have experience with many cloud providers but no certifications. Generally job postings will ask for experience/...
Manuel Ruiz's user avatar
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Target bounding box coordinates for classic YOLOv2

Let's say I build training data for classic YOLOv2 from paper: https://arxiv.org/pdf/1612.08242.pdf let me know if I understand output format correctly. Example Bounding box from picture: bounding ...
Mateusz Konopelski's user avatar
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Is vision transformer (ViT) always better than CNN?

The paper - AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE proposed vision transformer and outperformed CNN-based models in many cases. When it comes to sequential data, we ...
Chuck Liu's user avatar
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Should I remove the watermarks of my images before training Yolov8?

I would like to train a Yolov8 network in an animal detection task using camera trap images. Some camera trap images have information added to them such as date, time, day of the week, camera brand, ...
renton01's user avatar
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Using two different dataset file formats to train model

I am looking to train a model on computer vision for imsge prediction but I have an images dataset and a .csv dataset. Note: both datasets have 6 classes A, B, C, D, E, F, only different is the file ...
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How to calibrate IMU for large scale deployments possibly using deep neural network

We were testing our visual SLAM algorithm on robots. We were getting poor performance. Then we calculated wite noise and random walk parameters (using kalibr) for the IMU and used it in our algorithm ...
Mahesha999's user avatar
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Suggestions for a computer vision teaching module in R

I'm teaching an undergrad seminar in machine learning. It's quite basic: kNN, tree-based models, neural nets, etc. For the last module I ask the students what they'd like to cover and they voted for a ...
user111024's user avatar
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How to treat "ignore" boxes during object detector evaluation?

I want to evaluate the performance of multiple object detectors for comparison, each of them has been trained on this data. This dataset has images labeled, where each image can have multiple labels. ...
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Object localization and text extraction using VGG

I'm new to Computer Vision and training a TensorFlow neural network using VGG16. The problem is quite simple: I'm training in a custom dataset to detect and localize numbers in a 100x100 image. The ...
zoddin's user avatar
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Training Loss for Classification Model Isn't Decreasing

I'm currently building a video classification model for engagement detection but I'm having some trouble training it. The model takes in two tensors as inputs: a 10x48x48x1 tensor which holds a stack ...
snowball's user avatar
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Estimating the Cost of Creating an Image Dataset like GQA and Relevant Sources

I am currently working on a project that requires an extensive image dataset, similar to the GQA dataset. I am in the early stages of planning and would like to get an estimate of the cost involved in ...
Patrick Amadeus Irawan's user avatar
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How can I identify coverage types in NFL games using Computer vision

I am currently working on a project that classifies coverage types from sports highlights using advanced computer vision techniques. Next Gen Stats effectively utilizes tracking data to identify ...
Shah Zeb's user avatar
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Using AWS Sagemaker (Ground Truth) for Labeling Jobs + Rekognition. How best to approach my project?

I'm new to ML so bear with me. I want to create an object detection model that can detect anything from flags (e.g. Israel flag) to symbols (e.g. yin-yang sign) to a giving setting (e.g. war). I am ...
Noey's user avatar
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Optimizing YOLO for Diverse Takeaway Item Detection: Single vs Type-Based Classes

I'm using YOLO to detect various 'takeaway' items, currently all marked as class 0, which vary very widely(like groceries) in shape and type. Considering the introduction of new items on which the ...
Mike Like's user avatar
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2 answers
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Counting Number of Holes in an Image of Cheese

I've been assigned a project that involves writing a script to detect the number of holes in an image of cheese. My background in AI is quite limited, so I was wondering if anyone could give me a good ...
A. Boy's user avatar
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Combining Computer Vision and traditional machine learning to predict respondent reactions (from a survey) to seeing a picture. Is it possible?

I have the following task Computer Vision/prediction task which I’m interested in hearing whether you guys think is feasible. I have a dataset of 1000 respondents coming from a survey, where ...
Andy's user avatar
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How can I set two anchors with different widths and the same height using PyTorch’s AnchorGenerator module?

I’m trying to use the AnchorGenerator module in PyTorch, but I’m having trouble setting up two anchors with different widths and the same height. Specifically, I want one anchor to have a height of 43 ...
roei shlezinger's user avatar
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how do I label my images for computer vision

So I want to do shape recognition task on a flowchart using CNN, but my input images are not labeled and I don't know how to do that automaticaly I mean not manually, anyone can help me please ?
kardev's user avatar
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Competition test set performance much lower than validation set

We are a team of 3 participating in a university competition for a deep learning course. The competition involves a binary image classification task where we have to predict leaf diseases on a (5200, ...
Fiorenzo Fiorenzi's user avatar
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Test accuracy is very low, compare to Trian and validation accuracy for image classification for 400 class

I am working on image classification with 400 class , during training , I am getting good training and validation accuracy , but test accuracy is approximate 0-1% .My input image is 1 scale , with ...
NeelPatwa's user avatar
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How to run our python scripts utilizing our device's GPU?

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 ...
Escanor6's user avatar
1 vote
1 answer
143 views

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....
Jibril's user avatar
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Loss MAE when estimating the angle of rotation of an object in an image is stuck at about 90

I am dealing with the problem of estimating the angle of rotation of objects in images. The problem is that the network gets stuck when training at a loss level of about 90. Below is the code for my ...
DamianSz's user avatar
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Pretrained computer vision models that accept as input a segmented image and the original image

My data is a set of segmented images with extra details: there is 30 object classes each object is labeled with its state (very old, old-fashion, modern) and each object is also labeled with a second ...
Karim-53's user avatar
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Detecting material separation in images

I have an image set of material flowing through a spiral witch separates two types of mass based on their weight. I need to be able to detect where the mass separates vertically in the image. When ...
jared's user avatar
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Using nearest neighbor in RANSAC

I found many resources online talking about nearest neighbor concept in RANSAC. For example, figure 2 of this paper, this article and this repo talk about nearest neighbor in the context of RANSAC. ...
RajS's user avatar
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Proper metric for measuring the similarity between two images

I want to calculate the similarity between these two images: and These are brain topography maps and colors inside the circles represent the area being activated while watching TV. Thus I am looking ...
tail's user avatar
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Is there a list of all the incorrectly labelled MNIST images along with their correct labels?

It seems that its well known that the MNIST handwritten digit dataset contains quite a few examples where the labels are clearly wrong and correspond to the wrong digit, some examples of people ...
Chuttle_guy's user avatar
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Deep Learning Methods for Video Classification

I'm working on a dataset with ~300 videos that last from 9 to 13-minute interviews of each subject and it has all the personality-related metadata that was collected during initial surveys. Which Deep ...
TheBiometricsGuy's user avatar
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Detecting cropped features/objects in an image

I hope someone can point me in the right direction. (Cross posting from the main SO flow page) I have some images and I'm trying to write something in Python to detect if the objects in the image have ...
borncamp's user avatar
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How to rotate a rectangle which has been formed by cv2.rectangle function

Exactly as the question says. Constraints: You cannot do anything to the image itself. Any and all operations has to be on the rectangle formed.
Academic's user avatar
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What is wrong with my Torch HMDB51 Dataloader?

I'm trying to prepare a HMDB51 dataset for some image classification tasks. Have done this many times before in TF but this time I am working in PyTorch. Running into this strange problem when ...
Franklin's user avatar
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2 answers
253 views

Is SVM is a good choice for large dataset?

With my limited knowledge of SVM, I am following a tutorial on YouTube to create an End-to-End multi-class ML model . There the person is using SVM on a dataset with 9 images dataset, but the dataset ...
abhi singh's user avatar
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133 views

CLIP Visual Transformer image encoder

I was doing some experiments with the CLIP's visual transformer encoder output (clip-ViT-B-32). So basically given the same scene or image, it should output almost ...
Mary's user avatar
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Retraining with the same test data returns different accuracies

I am using Pytorch for training my vit-3d model on my data. I have designed my cross-validation function and trained the model. While running the code file, I am getting different test accuracies each ...
chalbaaz_alpha's user avatar
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75 views

Swin Transformer Relative Position Biases

I was reading the swin transformer paper and looking at the github implementation, i noticed that when calculating the relative position bias the input to the log function before the CPB MLP is scaled ...
jack's user avatar
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Techniques for training a CV model based on PDF markup

Given a PDF of a home blueprint (e.g. https://www.roomsketcher.com/content/uploads/2023/04/blueprint-maker.jpg), what are techniques and approaches for training a CV model to lean how a user would ...
Vendetta's user avatar

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