Competencies: AI & ML > Computer Vision

Computer Vision

Body of Knowledge

Topic Description Relevance Career Tracks

Image Classification

CNN architectures, pretrained models, transfer learning, multi-label, fine-grained.

Critical

CV Engineer, ML Engineer

Object Detection

YOLO, Faster R-CNN, anchor boxes, NMS, mAP evaluation, real-time detection.

Critical

CV Engineer, ML Engineer

Semantic Segmentation

FCN, U-Net, DeepLab, pixel-wise classification, medical imaging, autonomous driving.

High

CV Engineer, ML Engineer

Instance Segmentation

Mask R-CNN, panoptic segmentation, polygon annotation, COCO format.

High

CV Engineer, ML Engineer

Pose Estimation

Keypoint detection, OpenPose, MediaPipe, human pose, hand pose, body tracking.

Medium

CV Engineer, AR/VR Engineer

OCR and Document AI

Text detection, recognition, layout analysis, document understanding, Tesseract.

High

CV Engineer, Data Engineer

Image Generation

Stable Diffusion, DALL-E, ControlNet, inpainting, img2img, fine-tuning diffusion.

Medium

ML Engineer, Creative Tech

Video Understanding

Action recognition, object tracking, video classification, temporal modeling.

Medium

CV Engineer, ML Engineer

Computer Vision Libraries

OpenCV, PIL/Pillow, albumentations, torchvision, image preprocessing.

Critical

CV Engineer, ML Engineer

Edge Deployment

TensorRT, ONNX, CoreML, mobile deployment, model optimization, inference speed.

High

CV Engineer, MLOps Engineer

Personal Status

Topic Level Evidence Active Projects Gaps

No personal status recorded

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