Choosing the Easier Image Classification Task
Case context: You are building a wildlife photo app with a small budget for manual labeling. You must decide whether one component should learn to classify whether an image contains a vehicle or whether it contains a scooter.
Question: Based on the idea that simpler tasks need less data, which subtask should you choose for this component, and why?
Sample answer: Choose the task of deciding whether an image contains a vehicle. That is a broader, easier binary classification problem than deciding whether it contains a scooter. Because simpler tasks generally require fewer labeled examples, it is the better fit when labeling capacity is limited.
Key points:
- Pick the 'contains a vehicle' task.
- State that it is easier than scooter-level identification.
- Explain that easier tasks need fewer training examples, which matches the data constraint.
Rubric: The response must select the easier task ('contains a vehicle') and justify it by stating that easier tasks require fewer training examples, making it appropriate under a limited labeling budget.
0
1
Tags
Python Programming Language
Data Science
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
Related
Informal View of Task Difficulty in Neural Networks
Which binary classification task is likely the easiest and needs the fewest training examples?
True or False: A simpler binary classification problem usually needs fewer labeled examples than a more difficult one.
Simpler tasks need less data
Match each vision task to its relative difficulty rank in the ordered list (1 = easiest, 5 = hardest).
Order these five classification tasks from easiest (1) to hardest (5).
How does task difficulty influence data needs when dividing a pipeline into subtasks?
A model that must distinguish two very similar bird species usually needs less training data than a model that only decides whether a photo is indoors or outdoors.
Binary Output in Several Toy Image Tasks
Match each image task description to the difficulty category it best fits.
Put the task-formulation steps in a sensible order when choosing a component for a text-classification pipeline.
How Task Difficulty Affects Training Data Needs
Choosing the Easier Image Classification Task
Why Some Classification Tasks Need Less Training Data
Choose Pipeline Components That Can Be Learned from Limited Data