DATASET
Classic Dataset
Caltech 101
Caltech‑101 dataset: VGG from scratch plus ResNet. This Jupyter notebook provides CNN‑based image classification. The project uses technologies including a VGG model built from scratch, a pretrained ResNet model, and F1 score and accuracy for performance evaluation. Dataset source: https://www.tensorflow.org/datasets/catalog/caltech101?hl=es-419
Updated 12/5/2023
github
Description
Dataset Overview
Dataset Name
- Caltech‑101
Dataset Purpose
- Image Classification
Technologies Used
- VGG model built from scratch
- Pretrained ResNet model
Performance Evaluation Metrics
- F1 Score
- Accuracy
Dataset Source
AI studio
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Topics
Image Classification
Deep Learning
Source
Organization: github
Created: 12/5/2023
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