What was one of the main reasons machine learning models struggled to gain traction before the 2000s?
ImageNet and The Challenge of Building Large Datasets

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Insufficient data
Complex algorithms
High costs
Lack of computing power
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How was the Imagenet data set primarily created?
By manually photographing objects
By using existing labeled data sets
By scraping images from the internet
By generating synthetic images
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was a significant outcome of the Imagenet Challenge?
It led to the development of new data labeling techniques
It demonstrated the effectiveness of GPUs in training models
It resulted in the creation of a new data set
It highlighted the need for more diverse data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common bias found in models trained on Imagenet?
Lighting bias
Color bias
Shape and texture bias
Size bias
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one of the ethical concerns related to the Imagenet data set?
The use of outdated technology
The lack of diverse categories
The potential violation of copyright
The high cost of data collection
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one approach to addressing data set challenges mentioned in the video?
Increasing data set size
Using synthetic data
Improving data set labeling
Reducing data set categories
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What legal action was taken against Clearview AI?
They were required to delete their data set
They were banned from using social media data
They were sued for violating biometric privacy laws
They were fined for data breaches
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