583 questions
Best practices
0
votes
3
replies
48
views
How to detect mislabeled images in a directory based image classification dataset?
What is the best way to find mislabeled images in a dataset where labels are based on folders?
Each class is already separated into its own directory, but some images inside are clearly in the wrong ...
1
vote
0
answers
139
views
using Google LiteRT from a Tensorflow Lite model
data = tf.keras.utils.image_dataset_from_directory('snails', image_size=(256,256), shuffle=True)
class_names = data.class_names
num_classes = len(class_names)
print("Classes:", class_names)
...
Tooling
0
votes
1
replies
296
views
Looking for a working TensorFlow Lite (.tflite) NSFW detection model for Android
I specifically need:
-A real .tflite file (not .onnx, not .pb, not .pth, not .mlmodel)
-Image classifier model (NOT segmenter or detector)
-Preferably with 5 classes or at least 2: drawings, hentai, ...
-1
votes
1
answer
65
views
Get image paths from tfds food101
I'm working on food101 tensorflow dataset and want to know the most wrong predictions of my efficientnet model, for that purpose I'd need to get image paths of test data, but I don't know how I can ...
0
votes
0
answers
23
views
Validation Accuracy stuck between 0.5-0.6
I am currently working on a custom VGG model for Breast Cancer Classification using mammography images. It has excellent accuracy for training images but the validation accuracy is stuck at 0.5-0.6. ...
0
votes
0
answers
32
views
Finetuning MobilenetV3S on Google Colab
Last year I finetuned MobileNetV3S on google colab [tensorflow version 2.15.0] gave me 95% (test) accuracy and loss below 0.25. However, running the same notebook now (2025-05) [tensorflow verion 2.18....
- 1
0
votes
1
answer
164
views
tflite-runtime ValueError: Didn't find op for builtin opcode 'FULLY_CONNECTED' version '12'. An older version of this builtin might be supported
I have trained and quantised my models on tensorflow==2.19.0 instead of a previous version and now am facing troubles in using the quantised models for inference on my Raspberry Pi (Raspbian GNU/Linux ...
- 45
1
vote
1
answer
193
views
DeepFace Analyze - Test scripts for batched image processing
I am having trouble getting image analysis batch processing to work. I would like to send a list of images to DeepFace to get a list of race, gender, and age predictions. I am calling test functions ...
- 13
3
votes
0
answers
70
views
How to calculate FPS in image classification?
Please, I would appreciate some help and will be grateful for any help.
I have some doubts about how to calculate the frame rate (FPS) in image classification for training an testing routines. I've ...
- 31
0
votes
1
answer
30
views
Input 0 of layer "conv2d" is incompatible with the layer: expected min_ndim=4, found ndim=2. Full shape received: (None, 4)
I'm making a CNN and I don't know the full ins and outs of coding. When i try to add the layers, it constantly gives me a "NotImplmentedError" and a "ValueError" that says ...
- 9
-1
votes
1
answer
53
views
Convolutional Neural Network is getting unexpectedly high validation accuracy, what could be causing this?
I am building/optimizing a CNN for classifcation of cars from this dataset.
My baseline model is getting suprisingly high accuracy from a very simple model architecture, I am concerned there is some ...
0
votes
0
answers
57
views
Core ML prediction for Image Classification Create ml model predict same result for different images
I am exploring the Apple Core ML framework.
I created a training model using Create ML app. Image Classification to identify the image is cat or a dog. The data set I used is referred from
https://www....
- 11.3k
0
votes
1
answer
48
views
Why does the PDF of the feature vector follow a Gaussian mixture?
I am attempting to perform an image classification task on a dataset with
𝐿 classes. The network I am using is divided into a feature extractor and a classifier. When an image is passed through the ...
- 5
1
vote
0
answers
80
views
How to Load a Custom-Trained ResNet50 Model with ImageAI in Python?
I'm working on an image classification project using a custom-trained ResNet50 model with ImageAI, but I'm encountering a persistent loading error that prevents me from using my trained model for ...
- 11
0
votes
0
answers
44
views
"ValueError: Shapes are incompatible", but where?
I load my datasets with keras.utils.image_dataset_from_directory(). Here's the code:
train_ds = image_dataset_from_directory(
"train",
validation_split=0.2,
subset="training",...
