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Questions tagged [image-recognition]

For questions related to image recognition in the context of AI.

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can Vision transformers be used to retain the relevant features (drop unrelated features from the clutter in image) and map to the specific query

Background, I have good understanding of ML 101 (supervised, unsupervised, tensorflow etc), however just getting into transformers & gen-AI. I have recently started looking into Transformers/ViT ...
cyborgt8's user avatar
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My loss is increasing instead of decreasing when i use a regularizer, but if i don't use regularizer then it stays at 00000e+00 or something

This is my model architecture: ...
Kamruzzaman Uzzal's user avatar
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109 views

Uncensored auto-captioning libraries that work well for NSFW image datasets?

I have a large (>2.5 million files) dataset of NSFW images that I would like to auto-generate detailed (~100-150 token) captions for, using a visual language model similar to CogVLM or Llava. I ...
Jay Ferments's user avatar
1 vote
1 answer
35 views

Must a CNN (both 1D and 2D) take input of the same size?

I have the notion that CNN input data must always be of the same dimensions. If we are feeding 1D tabular data, columns must be of the same numbers; if we are feeding 2D image data, all the images ...
user366312'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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Does reducing the image dimensions before sending them to Language Models (LMs) significantly affect the processing time?

I am currently working on utilizing Language Models (LMs) to describe images in my project (Search Engine for AI images). However, I am wondering about the efficiency of the process, particularly in ...
Oleksandr G's user avatar
1 vote
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Image classification for two categories: background and not background

Sorry, I have some background on AI, but very little experience. I am facing an image classification problem: I need to detect whether an image is background or not (images are always of the same size,...
Francisco Javier Rojas's user avatar
2 votes
2 answers
80 views

Image classification of more than 60,000 classes

I am working on a problem that requires the classification of more than 60k classes. I have around 1k to 1.5k images per class. I am using synthetic data for training and want to evaluate it on real ...
pks's user avatar
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Neural Net Convergence for Batch SGD

I've built a dynamically sized neural network framework with for multi class classification—just to strengthen my understanding of the deep networks. I'm training and predicting my network to classify ...
arjaras's user avatar
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39 views

How to detect abnormal fetal head size with image classification?

I am a computer science student currently working on my final project, which involves finding a classification-based solution for predicting the head size of a fetus during its third month. Here is a ...
NitaStack's user avatar
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Cannot find appropriate model to classify hidden states

My input data is vector representing encoded image - 22 features, and I try to classify by 3 classes 0, 1, 2 (neutral, good, bad) Original: ...
Max Usanin's user avatar
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1 answer
71 views

Is global pooling necessary in image classification models? [closed]

In many image classification models, the global pooling operation is performed before the classification layer (i.e. fully connected layer) to reduce model complexity. Is the global pooling layer a ...
Liuji's user avatar
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High Fluctuations in Validation Curve

Below I attach an image of accuracy curves. I got a lot of suggestions regarding some improvement in below curves. Following are my experiments in order to make the curve stable--> I used lr = 4....
Sarvagya Porwal's user avatar
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1 answer
152 views

How to accurately detect grid cell boundaries in Python image processing?

I'm working on a Python algorithm to detect individual cells of a grid passed by an image. Currently, I'm facing an issue where the values inside each cell are being selected as contours along with ...
Loris Simonetti's user avatar
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14 views

How to create meaningful features that allow unsupervised image classification?

I would train features that can later be correlated with categories, once I have some examples for the categories. Let's say one has a set of training images sorted by artist, and wants to create some ...
allo's user avatar
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What are general techniques of structuring an image classification Neural Network for very large numbers of output classes?

I am aware of Neural Networks that have 100K+ classes and I would like to build one myself (yes, I have lots of training data) but I am unsure which technique to use because most of the nets I have ...
AnalogDigital's user avatar
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Training ImageNet on Resnet - Dropping LR has little improvement on accuracy

I'm trying to train Resnet50 on Imagenet following this paper [1] as well as this one[2]. They say that at approximately every 30 epochs, I should drop the learning rate by 10. Since I'm training on 8 ...
Liam F-A's user avatar
3 votes
0 answers
116 views

How do I balance context and history when creating prompts for LLM's?

A conversation through the OpenAI API looks something like this ...
Ian Purton's user avatar
1 vote
2 answers
172 views

How to do image classification with optional metadata?

I have a vanilla image classification problem. The image may optionally have some numerical metadata associated with it. We don't assume uniform availability of this metadata, i.e., the model should ...
Vardaan Pahuja's user avatar
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13 views

What are some good pairs of transfer learning source and target datasets for image classification?

As the title says, I'm curious about some well used transfer learning tasks. ImageNet to other datasets is common, but what are something good pairs I can try and mess around with ? Like CIFAR10 to ...
v1998199904's user avatar
-1 votes
1 answer
193 views

What is the best lightweight alternative to VGG16 for image fingerprinting?

I am using a VGG16 model with the classification layer stripped off to generate vectors for an intermediate stage of an image fingerprinting algorithm. It works well, but VGG16 is a little hefty, and ...
Jeremiah's user avatar
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High Accuracy ML.NET Image differentiation model

I have a relatively big dataset (100+GB) that has 35 categories. All of them are microscopic images with slight differences. Although ML.NET documentation itself declares that training time should be ...
Helios Lucifer's user avatar
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Challenges in Developing AI Algorithms for X-ray Image Analysis on Large Datasets

Hello everyone, I'm currently working on a research project involving X-ray imaging and the development of AI algorithms to detect diseases from large ...
kibromhft's user avatar
  • 134
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1 answer
51 views

How can CAPTCHAs be used for both user verification and ML training?

CAPTCHAs (e.g. requiring a site visitor to click all the images of traffic lights in a grid of images) are often used throughout to Internet to verify that a site visitor is a human rather than a bot. ...
tparker's user avatar
  • 101
-1 votes
1 answer
301 views

Empty space detection [closed]

I'm looking for a TensorFlow model detecting empty spaces on the images. I need to add my company logo to this empty area so there shouldn't be any faces or objects in this area. Also, I would be ...
falsetto's user avatar
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19 views

Handling Feature Selection Discrepancy in Image Classification Model

I have developed an image classification model that categorizes images into two classes (we'll say good and bad for the sake of example) based on a set of tags. To improve the model's performance, I ...
eszfgefr rgrer's user avatar
0 votes
1 answer
69 views

Can a neural network recognize cropped images?

I asked ChatGPT to list some algorithms for identifying if one image is a cropped version of another or not. It suggested four algorithms that I know won't work, plus one that amounted to "train ...
Mark's user avatar
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375 views

Tips for solving OpenAI/Faramas Gymnasium Car Racing Environment

Im quite new to ML and wanna solve Gyms Car Racing v2 using Q-Learning with a Q-Table. But I am having problems approaching this. Thats why I am hoping someone more advanced in this field could give ...
user72952's user avatar
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64 views

What is the best approach to remove this additional container from the cropped image?

I'm working on a computer vision application in Python to analyze images of ice cream cuttings to measure the amount of variegate(ie. fruit syrup or fudge) compared to the base ice cream. My approach ...
RustyGoat's user avatar
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0 answers
10 views

Are image classification nets independent of input size ? Which ones?

Most models I have seen have a dense layer at the exit of the network with a softmax function or a relu sometimes, so I thought this was confusing: The major hurdle for going from image ...
Minsky's user avatar
  • 101
2 votes
1 answer
311 views

Should I use pretrained model for image classification or not?

I have thousands of images similar to this. I can classify them using existing metadata to different folders according to gravel product type loaded on the truck. What would be optimal way to train a ...
Vojtěch Dohnal's user avatar
1 vote
1 answer
89 views

Is it feasible to perform facial recognition on hundreds of thousands of individuals?

I came across a video with the title "you can buy things with your face in China". in the video, a woman scanned her face into a vending machine to buy a drink with only her face and without ...
Peyman's user avatar
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0 votes
2 answers
861 views

Is the GPT-4 for text the same model that can input and output images?

Currently, the published GPT-4 can input and output text. A version of GPT-4 that can input and output text and images exists, according to the technical report, but is not yet publicly available. I ...
Volker Siegel's user avatar
1 vote
1 answer
237 views

Out-of-domain generalization

Given $X$ the space of all $N \times N$-pixel images and $I=\{$airplane,clock,axe,...$\}$ a set of labels. An image classification task is generally concerned to learn a map $$F:X \rightarrow I$$ Let'...
NicAG's user avatar
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1 vote
2 answers
1k views

How to detect outlier images?

Before I describe my challenge, I want to point out that I have searched extensively online for "outlier image detection", "anomaly images detection", etc., but all returned ...
pookie's user avatar
  • 121
0 votes
2 answers
76 views

Higher accuracy in the test set than in the training set

Hi I'm trying to train an ANN model to classify images containing these characters: 0,1,2,3,4,T,X,S eg. etc... so something like the classification of records of the MNIST dataset but using my ...
Loris Simonetti's user avatar
1 vote
1 answer
42 views

How to deal with varying number of input images?

Im trying to use Deep-Learning to recognize breast cancer on Mammography Images. But in the dataset every patient has a different (1-4) number of images taken. How can i deal with that? Generally i ...
Patrick G Patrick's user avatar
1 vote
1 answer
149 views

Should a CNN generalize to arbitrary positions in the data?

I have trained a CNN on one dimensional data that is the power spectral density (PSD) of a $N$ different classes of signals ($N=4$). Each of the $N$ signals has a different spectral shape (not shown ...
BigBrownBear00's user avatar
0 votes
1 answer
105 views

Why didn't my convolutional image classifier network learn anything?

So I am trying to make a CNN image classifier that has two classes, good and bad. The aim is to look at photoshoot pictures that can be found on fashion sites and find the "best one". I ...
isa türk's user avatar
  • 101
0 votes
2 answers
136 views

How can I use CNN to make a cumulative count of the number of occurrences of each of the different objects in all the images in the test set?

Let's say there are three images in the test set, the first with three triangles, the second with two triangles and two circles, the third with four circles and two squares, and the final tally is a ...
El J 1e2's user avatar
2 votes
1 answer
126 views

Image classification problem with multiple right classes

I have a use case where the model needs to detect fabricdefects. There are 15+ different kinds of defects. In one image there can be multiple defects present. The straight forward solution for this ...
Nick De Wispelaere's user avatar
0 votes
1 answer
112 views

Are there metrics for image complexity for informing neural network design?

BACKGROUND: I am trying to think of rational approaches to designing deep learning models for image classification. One thought is to quantify the complexity of image datasets and use that to inform ...
Snehal Patel's user avatar
2 votes
1 answer
222 views

Is there an image classification dataset where the class depends on spatial relations?

My question is pretty much the one asked above. To clarify a bit further: I have only found datasets that do object localization and that also have relations between the objects annotated (like: "...
Johannes R.'s user avatar
0 votes
1 answer
36 views

What kind of neural network and GPU should I use to classify images into > 10 000 classes?

I am trying to developp an image classifier that would have more than 10 000 classes but I don't know what kind of neural network I should use ? Some Other questions arise from this one : How big ...
Louis Delporte's user avatar
3 votes
2 answers
395 views

Examples where AI fails in revealing ways

For a short presentation about AI, I am looking for examples where AI failed and thereby shows the limits of itself. I remember there was one example,where an image classifier was given an image of ...
Nathan's user avatar
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0 votes
0 answers
94 views

Mapping an image to a well defined object using OpenCV

I am completely new to computer vision and I am working on a small hobby project. The goal is to use camera footage of a foosball table to map the image to already well defined object geometry with ...
apriede's user avatar
1 vote
1 answer
164 views

Why does my neural network perform different on the same images during training and testing?

I use tensorflow keras to build a neural network that classifies images of covid-19 rapid tests into three classes (Negative, Positive, Empty). During training the ...
Sohrab Tawana's user avatar
0 votes
0 answers
78 views

At what size does a picture become unusable for facial recognition?

Lets say i have a portrait photo of which the face it contains covers about 90% of the entire photo. I want to be able to detect the face in this photo using facial recognition but i also want to ...
Maurice's user avatar
  • 133
1 vote
2 answers
1k views

ImageNet Dataset (for PyTorch VGG16 training)

Please can someone describe how to properly obtain the ImageNet dataset (to be precise the ImageNet 2012 Classification Dataset). What I attempted so far The ImageNet webpage refers the user to ...
Anna Christine's user avatar
4 votes
5 answers
809 views

Can an AI generated image (such as pic of human face) be detected that it's AI generated?

AIs are getting better and better at creating images and art. Some of the stuff is almost impossible to be detected by the naked eye. But what about programs and algorithms? Instead of creating an ...
No Name's user avatar
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