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Dataset assetClassic DatasetDeep LearningImage Classification
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
Source
github
Created
Dec 5, 2023
Updated
Dec 5, 2023
Signals
425 views
Availability
Linked source ready
Overview
Dataset description and usage context
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
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