Community Explainer Prizes 📓 | Find Teammates 👯♀️
As a throwback to Blitz 7, we are putting on our spacesuit again!
Docking is the process of joining one spacecraft to another space station. It is a very high-precision task, requiring accurate hand-eye coordination. Even a small mistake can lead to failure.
SpaceX Dragon spacecraft attempted autonomous docking but what if the sensors onboard malfunctioned?! Can you dock a spacecraft successfully using only the input from the camera?
Your first Blitz X task is to calculate the distance and the central location of the docking port given the input image.
You can start solving the problem using our starter kit! If you are curious about docking, check out this real-life example!
💪 Getting Started
In this challenge, the task is to calculate the distance between the Spacecraft & ISS. and the central location of the docking port.
Use our Getting Started Notebook available here.
In the train set. There are 2 files train.zip & train.csv. Sample train.csv -
- The ImageID column In train.csv is corresponding to the image name in the train.zip.
- The distance column represents the distance from the picture to the docking port on ISS.
- The location is the pixel coordinates ( x, y ) of the docking port.
Few things to note -
- The camera angle does not affect the distance from ISS Docking Port.
- The point of reference for calculating the distance is always the same.
- The camera is stationary in generating the samples.
Following files are available in the
10000samples) - File containing images for the training set.
10000samples) - File containing labels for the training set.
1000samples) - File containing images for the validation set.
1000samples) - File containing labels for the validation set.
5000samples) - File containing images for the testing set.
5000samples) - File containing sample labels for the testing set.
- Creating a submission directory
submission.csvand fill the corresponding labels.
- Save the submission.csv in the assets directory. The name of the above file should be
- Inside a submission directory, put the .ipynb notebook from which you trained the model and made inference and save it as
- Overall, this is what your submission directory should look like -
submission ├── assets │ └── submission.csv └── original_notebook.ipynb
- Zip the submission directory!
Make your first submission here 🚀 !!
🖊 Evaluation Criteria
During the evaluation. For the Distance & Location Column, Mean Squared Error will be used to test the efficiency of the model.
- 💪 Challenge Page: https://www.aicrowd.com/challenges/docking-iss
- 🗣️ Discussion Forum: https://www.aicrowd.com/challenges/docking-iss/discussion
- 🏆 Leaderboard: https://www.aicrowd.com/challenges/docking-iss/leaderboards
Solution for submission 152357
salim_shaikhOver 1 year ago
Solution for submission 150882
ksnxrOver 1 year ago
[Getting Started Notebook] Docking ISS
ShubhamaicrowdOver 1 year ago