I have a project of leaf classification, I already have trained model so i want to integrate the model to through mobile application using react native does anyone know how to make it possible?

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. ...

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....

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 ...

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 ...

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 ...

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 ...

I'm working on an open-source Data Loss Prevention (DLP) solution trying to integrate image scanning capabilities using machine learning (ML) for image classification. I’ve set up a reverse proxy with ...

When training the YOLO11m-cls.pt with cusomize data, I found some black square region in train_batch*.jpg. How can I adjust the hyper parameters to avoid generating it. I tried some hyper parameters, ...

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 ...

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....

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 ...

I want to quanity the change in two satellite images that have the same spatial extent - can I define the clusters by calculating k-means clusters for both images stacked together and then apply the ...

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 ...

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",...