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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