Checklist INAIO 2025 Stage 2 · Task 6
Drone Patrol: From Vivid Landscapes to Monochrome Missions
Classify drone images as coast or desert using labelled colour images and unlabelled grayscale images, for colour or grayscale inputs.
The task
Daytime colour images are labelled by experts, while night-time grayscale images are unlabelled; at patrol time images may be either. Q1 builds learn_location_type_classifier and classify_image; Q2 evaluates on public colour and grayscale test splits; Q3 is a secret-set evaluation (14 points in total).
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
color_images_train.csv,grayscale_images_train.csv,color_test_public.csv,grayscale_test_public.csv,processed_images.zip.- You submit
- Completed notebook functions and reported metrics.
- Scoring
- ROC curve and AUC on each public split.
- Rules
- Make a copy of the notebook, share it with the organisers and report LLM chats and external resources used in the main test form.
- Format
- INAIO 2025 Stage 2, 2 March 2025, 10:00 AM – 1:00 PM IST (from the test form). Theory problems in a Google Form plus ML coding problems in Colab notebooks shared with the organisers.