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Computer Vision Starter

Images as numbers: geometry, filters, pooling, and the classical CV primitives behind detection. Fifteen problems that build the intuition under modern vision models.

15 problems

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Continue collection · RGB to Grayscale

Problems

RGB to Grayscale
cv-001Computer Vision
Easy
Crop Image
cv-004Computer Vision
Easy
Horizontal Flip
cv-006Computer Vision
Easy
Binary Threshold
cv-011Computer Vision
Easy
Global Average Pooling
cv-012Computer Vision
Easy
Min-Max Normalization
cv-014Computer Vision
Easy
Conv Output Size
cv-084Computer Vision
Easy
2D Cross-Correlation (Valid)
cv-019Computer Vision
Medium
Gaussian Kernel Generation
cv-020Computer Vision
Medium
Gaussian Blur
cv-021Computer Vision
Medium
Max Pooling
cv-026Computer Vision
Medium
Average Pooling
cv-027Computer Vision
Medium
2D Convolution (Valid)
cv-035Computer Vision
Hard
Intersection over Union
cv-039Computer Vision
Hard
Non-Max Suppression
cv-040Computer Vision
Hard