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.

Filter by
Sorted by
Tagged with
0 votes
0 answers
3 views

Detecting small objects with high variance in aspect ratio Faster-RCNN

I am trying to detect 17 classes of form elements such as textbox, button, checkboxlist, etc... in screenshot images. I need to be able to detect objects in upto 4k screenshots (ideally 8k). Objects ...
yigit.sik's user avatar
0 votes
0 answers
9 views

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
  • 11
0 votes
0 answers
10 views

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
0 votes
0 answers
22 views

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
  • 1
0 votes
0 answers
41 views

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
0 votes
0 answers
20 views

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
0 votes
1 answer
25 views

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
26 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
  • 151
0 votes
0 answers
9 views

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
0 votes
0 answers
8 views

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
0 votes
0 answers
7 views

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
  • 101
0 votes
0 answers
8 views

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
  • 103
0 votes
0 answers
18 views

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
  • 117
1 vote
0 answers
23 views

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
0 votes
0 answers
9 views

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
0 votes
0 answers
32 views

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
  • 101
0 votes
0 answers
15 views

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
  • 482
0 votes
0 answers
28 views

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
0 votes
2 answers
40 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
2 votes
0 answers
44 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 ...
Tina J's user avatar
  • 217
0 votes
0 answers
12 views

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
0 votes
0 answers
41 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
  • 1
0 votes
0 answers
5 views

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
0 votes
1 answer
26 views

Detector vs Classification - Detecting a netted bag for fruit/vegetables in image

The application is detecting the presence of a netted bag in an image. The image can contain fruit and vegetables, either with or without a netted bag around them, or below them (no constraints about ...
ADHD Productions's user avatar
1 vote
0 answers
16 views

Can CNNs complete lines and contours?

Are there deep convolutional networks capable of recognizing two overlapping triangles in this image - or is this beyond the capabilities of CNNs? And are there CNNs that can recogize two boxes ...
Hans-Peter Stricker's user avatar
0 votes
0 answers
22 views

Computer Vision - is splitting by annotation considered data leakage?

We are using a COCO like dataset, with around 1500 images and 4700 annotations. We want to define our train-test dataset split. Will splitting our dataset by annotations cause data leakage? We fear ...
Toffe1369's user avatar
0 votes
0 answers
15 views

Differences between the two ViT-based models: GLP and DPT?

I've been learning to do some depth estimation tasks so I came across the GLP model (https://arxiv.org/pdf/2201.07436.pdf) which is suggested on huggingface website. I'm new to machine learning, so ...
user113988's user avatar
0 votes
0 answers
15 views

Multilabel Image Classification - problem with probability at prediction

I'm building a multilabel image classification problem usinc MIMIC CXR dataset. I'm struggling with probability at prediction as for every image in test dataset the probability of an existance of ...
greg0001's user avatar
0 votes
1 answer
38 views

Depth Estimation Algorithms without Reference Image in Computer Vision for Webcam Captured Video Data of a Person

I am currently working on a computer vision project that involves analyzing video data of a person captured from a webcam. In this project, I need to compute the depth map or distance of a specific ...
thedumbkid's user avatar
0 votes
1 answer
61 views

Label_fields are not valid error when using Albumentations

I'm not sure if you can have duplicates cross-forums, but my previous question on Stack Overflow was never answered. I'll paste it here just in case. I'm using albumentations with the following code: <...
aSquaredRush's user avatar
0 votes
1 answer
60 views

Use computer vision to detect door blockage

I want to detect door blockage on a camera. Basically if the exit door is blocked by an object, it detects it as an anomaly. How can we do it? Is it possible to do it using OpenCV? Remember, it doesn’...
Tina J's user avatar
  • 217
1 vote
0 answers
67 views

Annotating and Structuring a Dataset for Duplicate Detection

I'm currently working on a project that requires the detection of duplicate bands in Western blot images. The task involves two types of duplicates: ...
Emmanuel's user avatar
  • 111
0 votes
0 answers
54 views

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 ...
Jean's user avatar
  • 37
0 votes
0 answers
19 views

Model suggestion for estimating 6D pose of custom object

For a project of mine I’m trying to be able to track the 6D pose of a tennis racket. I’ve been looking for a model that I can use to to track either the pose or 3D keypoints of a custom object and I ...
Bereketab Tessema's user avatar
3 votes
0 answers
118 views

Multi-page document image classification [closed]

Sorry for the long post but I needed it to be able to capture all the details and questions. I am working on multi-page document image classification problem and am kind of confused on what approach ...
asanoop24's user avatar
  • 141
0 votes
0 answers
27 views

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 ...
Shrijayan's user avatar
0 votes
0 answers
141 views

Augmentation and transformations in Detectron2

I'm working on a custom Faster RCNN with Detectron2 framework and I have a doubt about transformation during training and inference. I created a custom Trainer ...
Agostino Dorano's user avatar
0 votes
0 answers
148 views

Meta's SAM model: can extract semantic embedding vector?

I'm interested in finding an embedding vector for each segment found by the Facebook/Meta Segment Anything model (for classification and tracking of segments). Can ...
user48956's user avatar
  • 111
0 votes
0 answers
105 views

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 ...
Mehdi Charife's user avatar
1 vote
0 answers
38 views

Blip2 for image metada

I want to detect attributes of objects in an image - like what is color of a patch on shirt of person, how many patches are there, type of objects, exact dimensions of the objects etc I've heard of ...
Sand T's user avatar
  • 11
1 vote
0 answers
122 views

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 ...
Jannes's user avatar
  • 11
1 vote
2 answers
46 views

High accuracy on test and validation data but still can not predict on real data

Hello i am having a classification between two classes A and B and i have trained CNN model. I have high accuracy on all three set of data i.e training (98.7%) validation (99.3%) and test(98%) but ...
Ejaz's user avatar
  • 11
1 vote
1 answer
47 views

Convolution neural network loss increasing instead of decreasing

I am working on a binary image classification task in which I have greyscale images of size (1, 224, 224) (all normalized between 0 and 1) and a set of labels (0 or 1). I have around 2.6k images with ...
Akshit Sharma's user avatar
0 votes
0 answers
48 views

Why does my validation loss go so high after few epochs?

I am facing an issue with my pretrained mobilenetv3 model, it is quite strange how the validation loss is behaving, it starts low but then goes up ridiculously high. I have normalized my images as ...
NevMthw's user avatar
  • 47
0 votes
0 answers
21 views

Best model / approach to detect the number of standing bowling pins?

I want to build an ML model to detect the number of standing bowling pins, here is an example of an image from the dataset: Do you think it's a hard task ? (considering that bowling pins are hidden ...
ailauli69's user avatar
  • 101
0 votes
0 answers
53 views

How can I prevent mobilenetv3 from overfitting with less data?

So I have around 462 images and I can't really get more images. I am using a pretrained model of MobileNetV3 with the respective weights. I am facing a huge problem of overfitting and no real solution ...
NevMthw's user avatar
  • 47
0 votes
0 answers
23 views

Embedding vector of MaskRCNN (Resnet with FPN)

I have a MaskRCNN model for instance segmentation with Resnet 50 - FPN backbone trained in detectron2. And I want to extract the embedding/feature vectors for visualizing input and hopefully detecting ...
Sushil Khadka's user avatar
0 votes
0 answers
720 views

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 ...
Icecream Pudding's user avatar
0 votes
2 answers
854 views

computer vision transformers: ViT does not have a decoder?

from https://www.youtube.com/watch?v=TrdevFK_am4 that explains the paper titled, "AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE" compare that to the architecture ...
mLstudent33's user avatar
0 votes
1 answer
19 views

How is the classification step performed in Swin Transformer?

I've read the original paper of the Swin Transformer, and understand it quite well apart from the last step: the classification. In the paper, this is completely brushed over, and none of the blog ...
Johncowk's user avatar
  • 195

1
2 3 4 5
13