| --- |
| title: Human Activity Recognition |
| emoji: 🏃 |
| colorFrom: blue |
| colorTo: green |
| sdk: gradio |
| sdk_version: 5.29.0 |
| app_file: app.py |
| pinned: false |
| license: unknown |
| models: |
| - Rishi2455/Human-Activity-Recognition |
| datasets: |
| - Bingsu/Human_Action_Recognition |
| tags: |
| - image-classification |
| - human-activity-recognition |
| - mobilenetv2 |
| - tensorflow |
| short_description: Classify 15 human activities from images using MobileNetV2 |
| --- |
| |
| # 🏃 Human Activity Recognition |
|
|
| A fine-tuned **MobileNetV2** model that classifies **15 human activities** from images. |
|
|
| ## 🎯 Supported Activities |
|
|
| | # | Activity | Emoji | |
| |---|----------|-------| |
| | 1 | Calling | 📞 | |
| | 2 | Clapping | 👏 | |
| | 3 | Cycling | 🚴 | |
| | 4 | Dancing | 💃 | |
| | 5 | Drinking | 🥤 | |
| | 6 | Eating | 🍽️ | |
| | 7 | Fighting | 🥊 | |
| | 8 | Hugging | 🤗 | |
| | 9 | Laughing | 😂 | |
| | 10 | Listening to Music | 🎧 | |
| | 11 | Running | 🏃 | |
| | 12 | Sitting | 🪑 | |
| | 13 | Sleeping | 😴 | |
| | 14 | Texting | 📱 | |
| | 15 | Using Laptop | 💻 | |
|
|
| ## 🔧 Technical Details |
|
|
| - **Architecture:** MobileNetV2 (fine-tuned) |
| - **Input:** 224×224 RGB images |
| - **Dataset:** [Human Action Recognition](https://huggingface.co/datasets/Bingsu/Human_Action_Recognition) (12,600 train / 5,400 test images) |
| - **Model:** [Rishi2455/Human-Activity-Recognition](https://huggingface.co/Rishi2455/Human-Activity-Recognition) |
|
|
| ## 🚀 API Usage |
|
|
| This Space exposes a REST API. Click the **"Use via API"** button at the bottom of the page to see the auto-generated client code. |
|
|
| ```python |
| from gradio_client import Client |
| |
| client = Client("Rishi2455/Human-Activity-Recognition-Demo") |
| result = client.predict( |
| "path/to/your/image.jpg", |
| api_name="/predict" |
| ) |
| print(result) |
| ``` |
