CNN Vision

Model Selection Ready

MobileNet

Fast & Lightweight

~8MB • Real-time

ResNet-50

Balanced Accuracy

~98MB • High Accuracy

EfficientNet

State-of-the-art

~20MB • Best Quality

InceptionV3

Multi-scale features

~92MB • Robust

Batch Image Classification

Upload multiple images for batch processing

Results (0 items)

Image	Filename	Top Prediction	Confidence	Inference Time

Train Custom Model

1. Dataset

Upload a CSV file (label, pixel1...pixel784) or use the default MNIST handwriting dataset.

Status: Waiting for data...

2. Configuration

Epochs: 5

Training Progress

Loss

-

Accuracy

-

Model Explainability (Grad-CAM)

Grad-CAM creates a heatmap highlighting the regions of the image that led to the prediction.

How it works

We compute the gradient of the winning class score with respect to the feature maps of the last convolutional layer. These gradients tell us how important each feature map is. We weight the maps and generate a heatmap.
Note: This requires the custom trained model or compatible layer access.

Single Classification MobileNet v2 Active

Upload Image

Results