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🕵️ Introduction

Our mission to Mars is about to start 🛸 but before we can take off we must resolve a mix-up.

Someone has mishandled the labeling of two Mars rover projects — Curiosity and Perseverance — we must classify them correctly.

Click here to access the starter-kit and avert the emergency!

💾 Dataset

The given dataset contains images of two different rovers i.e. Curiosity and Perseverance of size 265*256 in `jpg` format. The images in train.zip and val.zip  have their labels i.e. which rover it is in train.csv and val.csv. The labels for the images in test.zip needs to be predicted. 

📁 Files

Following files are available in the resources section:

• train.zip - (40000 samples) This zip file contains rover images with images name corresponding to ImageID column of train.csv
• train.csv - (40000 samples) This csv file contains the ImageID column corresponding to train.zip and label column as the name of rover.
• val.zip - (4000 samples) This zip file contains rover images with images name corresponding to ImageID column of val.csv
• val.csv - (4000 samples) This csv file contains the ImageID column corresponding to val.zip and label column as the name of rover.
• test.zip - (10000 samples) This zip file contains rover images which will be used to evaluate the performance of the model.

🚀 Submission

• Prepare a CSV containing ImageID column corresponding to test.zip and label column as rover name.
• The name of the above file should be submission.csv.
• Sample submission format available at sample_submission.csv in the resources section.

Make your first submission here 🚀 !!

🖊 Evaluation Criteria

During evaluation F1 score is used as Primary Score and Accuracy Score as Secondary Score will be used to test the efficiency of the model.

🔗 Links

• 💪 Challenge Page: https://www.aicrowd.com/challenges/rover-classification
• 🗣️ Discussion Forum: https://www.aicrowd.com/challenges/rover-classification/discussion
• 🏆 Leaderboard: https://www.aicrowd.com/challenges/rover-classification/leaderboards

📱 Contact

• Shubhamai