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language: en
library_name: keras
tags:
- image-classification
- transfer-learning
- computer-vision
- keras
- tensorflow
- multiclass-classification
license: mit
datasets:
- custom
model-type: multi-model-repository
author: Thyagharajan K K
pipeline_tag: image-classification
inference: true
app_file: app.py
---
# 🧠 KKT-HF-TransferLearning-Models
## **Ready-to-Use Transfer Learning Models for Image Classification**
**Created by [Thyagharajan K K](https://huggingface.co/kkthyagharajan)**
[](https://huggingface.co/kkthyagharajan/KKT-HF-TransferLearning-Models)
[](https://opensource.org/licenses/MIT)
[](https://keras.io/)
[](https://www.tensorflow.org/)
[](https://github.com/kkthyagharajan/KKT_DL_Package)
---
## 📘 Overview
This repository hosts a **collection of pretrained image-classification models** created using **Transfer Learning** in Keras/TensorFlow.
Each subdirectory contains:
- A trained `.keras` model file
- A `class_names.txt` file
- A `Test` folder with example test images
You can use these models **programmatically** or through an **interactive demo app** powered by Gradio or Streamlit.
---
## 🧩 Programmatic Usage
```python
from KKT_DL_Package.utils.KKT_predictions import (
multiclass_prediction_return,
display_images_gui,
get_hf_model_img_labels_local_path,
)
IMG_SIZE = (300, 300)
model_full_path, test_folder_path, class_names = (
get_hf_model_img_labels_local_path(
"kkthyagharajan/KKT-HF-TransferLearning-Models",
IMG_SIZE,
force_refresh=False, # Won’t redownload if cached
)
)
# Run predictions and display results
all_image_paths, all_predicted_labels, all_confidences = (
multiclass_prediction_return(
model_full_path,
test_folder_path,
class_names,
IMG_SIZE,
)
)
display_images_gui(
all_image_paths,
all_predicted_labels,
IMG_SIZE,
)
```
---
## 🚀 Interactive Demo App
### 🧩 Option 1: Run directly on Hugging Face
This Space includes a web app defined by `app.py`.
### 💻 Option 2: Run locally using Gradio or Streamlit
```bash
pip install -r requirements.txt
python app.py # or
streamlit run app.py
```
---
## 📁 Repository Structure
```
KKT-HF-TransferLearning-Models/ ← Root directory (your HF repo root)
│
├── Insect_Inception_V3/ ← Model 1 directory
│ ├── insect_inception_v3_model.keras ← Saved model file
│ ├── class_names.txt ← Corresponding class labels
│ └── InsectTest/ ← Test image folder
│ ├── image_001.jpg
│ ├── image_002.jpg
│ └── ...
│
├── Insect_MobileNetV2/ ← Model 2 directory (example)
│ ├── insect_mobilenet_v2_model.keras
│ ├── class_names.txt
│ └── InsectTest/
│ ├── test1.jpg
│ ├── test2.jpg
│ └── ...
│
├── Insect_ResNet50/
│ ├── insect_resnet50_model.keras
│ ├── class_names.txt
│ └── InsectTest/
│ ├── imgA.jpg
│ ├── imgB.jpg
│ └── ...
│
└── README.md
```
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