
Locate and classify objects in images/videos (such as people, cars, non motorized vehicles, animals, objects, etc.). Typical algorithms/models: YOLO, Faster R-CNN, SSD, RetinaNet, EfficientDet, etc. Core competencies: Simultaneous detection of multiple categories, scales, and targets. Support detection of small targets, occluded targets, and dense targets. Can be used for security, transportation, retail, industrial, and robot perception.

Continuously locate and associate the same target with its ID in consecutive video frames. Typical methods: DeepSORT, ByteTrack, StrongSORT, FairMOT, etc. Core ability: Maintain cross frame IDs and support re identification after occlusion. Suitable for passenger flow statistics, traffic flow statistics, behavior analysis, security deployment, and robot tracking.

Semantic segmentation: Classify each pixel in the image (roads, buildings, sky, vegetation, human body, etc.). Typical models: U-Net, DeepLab, SegFormer, etc. Applications: Autonomous driving perception, medical image segmentation, remote sensing image analysis, industrial defect area localization. Instance segmentation: not only categorizes, but also distinguishes different individuals within the same category (such as multiple people, multiple vehicles). Typical models: Mask R-CNN, SOLO, YOLACT, etc. Applications: Robot grasping, industrial sorting, security statistics, retail product recognition. Panoramic segmentation: semantic+instance fusion, making instances for "objects" and semantic for "background areas". Applications: autonomous driving, city perception, high-precision scene understanding.

Human pose estimation: Detecting key points of the human body (head, shoulders, elbows, wrists, hips, knees, ankles, etc.) and outputting skeletal structures. Typical models: OpenPose, HRNet, YOLO Pose, etc. Applications: Behavior analysis, fall detection, action recognition, fitness/sports action correction, human-computer interaction. Hand/limb key points: Hand 21 points, finger posture, gesture recognition. Applications: VR/AR interaction, sign language recognition, robot dexterity, and aerial control.
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