MaiAShaaban/TactileNet
How to use TactileNet: Step 1: Download the dataset locally git lfs install git clone https://huggingface.co/datasets/MaiAhmed/TactileNet Step 2: Install necessary packages pip install datasets Step 3: Load the dataset import os from datasets import Dataset, Image def load_data(dataset_path): data = [] for root, dirs, files in os.walk(dataset_path): for file in files: if file.endswith(".jpg"):… See the full description on the dataset page: https://huggingface.co/datasets/MaiAShaaban/TactileNet.
| Author / organization | MaiAShaaban |
|---|---|
| License (as declared) | mit |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 9 June 2025 |
| Last updated at source | 20 July 2025 |
Recent changes
- 16 Oct 2026 Description: How to use TactileNet: Step 1: Download the dataset locally git lfs install git clone https://huggingface.co/datasets/MaiAhmed/TactileNet Step 2: Install necessary packages pip install datasets Step 3: Load the dataset import os from datase → How to use TactileNet: Step 1: Download the dataset locally git lfs install git clone https://huggingface.co/datasets/MaiAhmed/TactileNet Step 2: Install necessary packages pip install datasets Step 3: Load the dataset import os from datase
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.