🚀 Indoor vs Outdoor Detection Leaderboard
Using the provided dataset, submit a model that can predict if a device is inside or outside. See the README for submission details.
Using the provided dataset, submit a model that can predict if a device is inside or outside. See the README for submission details.
Leaderboard View
Leaderboard
1 | Ali-Model-Based | Abedi Research Group | 56.62 | 0.81 | 0.16 | 0.02 | 0.18 | 0.65 |
✅ Submission Requirements
Please follow these rules before uploading your model:
- File Format: Upload a
.zipfile containing your model. - Requirements File: You must have your requirements file named "user_reqs.txt". Ensure that you include the least number of requirements to minimize runtime.
- File Naming: The zip file must include a Python file name main.py with a function called evaluate with one parameter called "filepath".
- Path Building: Do not hardcode any paths in your code. Programmatically build file paths using methods such as os.path.join, pathlib.Path to avoid hardcoding.
- Model Name & Group Name:
- Model Name must be unique to your group (unless you choose to overwrite).
- Group Name should identify your team/institution.
- Evaluation: Your model will be tested against the hidden validation set.
- Leaderboard: Results will be displayed automatically after processing.
- Overwrite Policy: If the same model name already exists, you can overwrite it by confirming.
- 📌 See the README for detailed instructions.