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Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning
Computer Vision
Edge AI
Foundations & Concepts
15
▼
Image Preprocessing
18
Spatial / Geometric Transforms
6
Pixel / Colour Transforms
7
Augmentation Strategies
5
▼
Classical CV
22
Edge & Gradient Operators
5
Feature Detectors & Descriptors
9
Matching & Tracking
4
Multi-Scale & Aggregation
4
▼
CNN Architectures
19
Foundational Architectures
4
Inception Family
4
ResNet & Dense Family
4
Efficient Architectures
7
Recognition Tasks
12
▼
Object Detection
21
Detection Concepts
8
Two-Stage Detectors
4
Single-Stage & Modern Detectors
9
▼
Segmentation
16
Segmentation Tasks
4
Segmentation Architectures
8
Segmentation Losses & Metrics
4
Transfer Learning
11
▼
Vision Transformers
19
Core ViT
5
ViT Variants
5
Self-Supervised Visual Learning
9
Video Understanding
11
3D Vision
12
AI ML
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Computer Vision
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Object Detection
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Object Detection
21
terms
Detection Concepts
8
terms
Anchor Box
Average Precision (AP)
Bounding Box
Feature Pyramid Network (FPN)
Intersection over Union (IoU)
Mean Average Precision (mAP)
Non-Maximum Suppression (NMS)
Region Proposal
Two-Stage Detectors
4
terms
Fast R-CNN
Faster R-CNN
R-CNN
Cascade R-CNN
Single-Stage & Modern Detectors
9
terms
DETR (Detection Transformer)
RetinaNet
SSD (Single Shot Detector)
YOLO (You Only Look Once)
YOLOv3
Deformable DETR
YOLOv5
YOLOv7
YOLOv8
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