Questions tagged [image-classification]
579 questions
2
votes
2 answers
What information do image pixels hold?
For a color image, say with dimensions 320 by 240, we have 76,800 pixels in the image. What does each pixel represent for a color image? Is it just the RGB values for that pixel? How are shapes and textures represented in pixels? If each pixel in a…
Sid
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2
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0 answers
Accuracy of Multi Layer Neural Network using Backpropagation around 86% normal?
Recently, I started trying to train a neural network using backpropagation. The network structure is 784-512-10, and I used the Sigmoid activation function. When I tested a single-layer network on the MNIST dataset, I got around 90%. My results are…
user11350388
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2
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0 answers
Incorrect printed message in tensorflow image classification tutorial due to warning "Could not load dynamic library 'cudart64_110.dll';...."
I am following along an image classification tutorial from tensorflow from the following link:
https://www.tensorflow.org/tutorials/images/classification.
I have tried following along and when I reach the lines
image_count =…
SRT
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2
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0 answers
Why does total size of dataset in neural network affect memory usage
Initially, I was trying transfer learning in image classification model using 268 test images + 65 validation images of 256x256 sizes.
(The code I am using is from https://github.com/conan7882/GoogLeNet-Inception)
However even with Tesla K80(16 gb…
reallybig
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2
votes
2 answers
Why is my model overfitting on the second epoch?
I'm trying to train a deep learning model to classify different ASL hand signs using Mobilenet_v2 and Inception.
Here are my codes create an ImageDataGenerator for creating the training and validation set.
# Reformat Images and Create…
junsiong2008
- 107
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2
votes
0 answers
(TensorFlow) TimeDistributed layer for image classification
I know that “Time Distributed” layers are used when we have several images that are chronologically ordered to detect movements, actions, directions etc.
However, I work on speech classification using spectrograms. Every speech is transformed into a…
Scoob
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2
votes
2 answers
How to load dataset for in Keras using Python?
I'm a beginner to learn Keras using Python.
I've read some sample code of dataset loading using MNIST Dataset.
I don't understand the variable (X_train, y_train) and (X_test, y_test).
Please, help me explaining the purpose of these variables.
Also,…
zml
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1
vote
0 answers
tflite_flutter interpreter.run input error
I'm trying to do image classification in Flutter using tflite_flutter package, the code is from tflite_flutter github but I got this error
E/Parcel (29971): Reading a NULL string not supported here.
I/flutter (29971): afah aa
I/flutter (29971):…
Ali Mahfud
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1
vote
0 answers
Is my Neural Network for image classification code properly being trained?
Task: Classify image if it is image of human or not.
Train set: Composed of 200 image which is labeled(train_y) 0 = not human, 1 = human
Test set: Composed of 49 image which is labeled(test_y) 0 = not human, 1 = human
Both 64*64 size image with RGB…
James Jang
- 31
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1
vote
0 answers
Training Vision Transformer on Custom dataset
i am trying to use a pre-trained ViT pytorch model. It is pre-trained on imagenet with image size 384x384. Now i want to fine tune this model on my own dataset. But each time when i load the pre-trained ViT model and try to fine tune it i got an…
Waqar Ahmad
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1
vote
1 answer
How do I get the validation accuracies when using VisionClassifierTrainer
I am unable to plot the validation accuracies Vs epoch curve while using the following code
from hugsvision.nnet.VisionClassifierTrainer import VisionClassifierTrainer
from transformers import ViTFeatureExtractor,…
Anu Raj
- 11
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1
vote
0 answers
How to calculate SHAP values after transfer learning Resnet18 model?
I modified Resnet18 model so it would predict 2 classes (cats and dogs) instead of 1000. I then used SHAP library for plotting the marginal contributions of the features.
On pretrained Resnet18 receiving shap_values works absolutely fine. However,…
Katya Pleshakova
- 11
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1
vote
0 answers
client side tensorflow.js image classification problem
im trying to create a client side web app that uses a pretrained model to classify an image as a fruit or vegetable.
the model was pretrained in azure custom vision and was exported as a tensorflow js model.
app.js code:
// Load the model
const…
Rjelf93
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1
vote
0 answers
Accuracy of the test set for a binary classification model, and using predict() values don't change
i'm doing a relatively simple binary classification model using ResNet50 as transfer learning model. Using Predict on multiple or single images causes various different errors that i mention below. I didn't know what exactly to use as a question…
Heba
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1
vote
1 answer
TensorFlow image classification model gives different prediction when run in Spyder IDE and in CMD
I have made a TensorFlow model script that saves the model for later use.
Its a Image classification model with sequential neural network that takes in the image and classifies it based on three output classes.
When I run the model on the same file…
MaraMarsu
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