Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
pose detection using mediapipe | 1.23 | 0.4 | 4155 | 75 | 30 |
pose | 0.6 | 0.4 | 7113 | 41 | 4 |
detection | 1.74 | 0.2 | 3761 | 88 | 9 |
using | 1.65 | 0.7 | 7710 | 99 | 5 |
mediapipe | 0.46 | 0.4 | 2291 | 57 | 9 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
pose detection using mediapipe | 0.94 | 0.1 | 8511 | 94 |
object detection using mediapipe | 0.79 | 0.8 | 4822 | 77 |
pose estimation using mediapipe | 1.62 | 0.7 | 8276 | 17 |
hand detection using mediapipe | 0.1 | 0.8 | 533 | 50 |
mediapipe/pose | 1.15 | 0.1 | 3465 | 67 |
face detection using mediapipe | 0.27 | 0.3 | 7990 | 6 |
hand landmark detection using mediapipe | 0.63 | 0.5 | 6129 | 11 |
mediapipe/solutions/pose | 0.68 | 0.1 | 4897 | 43 |
mediapipe pose python example | 1.87 | 0.1 | 5691 | 20 |
mediapipe pose_landmarks | 1.63 | 0.9 | 3405 | 22 |
mediapipe face detection documentation | 0.7 | 0.6 | 8686 | 21 |
mediapipe python body posture detection | 1.41 | 0.6 | 9886 | 27 |
mediapipe detect_for_video | 0.78 | 0.5 | 2838 | 40 |
mediapipe 3d pose estimation | 1.57 | 0.7 | 2775 | 89 |
mediapipe face landmark detection | 1.08 | 0.2 | 70 | 13 |
mediapipe object detection python example | 0.59 | 0.2 | 3133 | 59 |
mediapipe hand landmark detection | 0.56 | 0.3 | 8074 | 99 |
mediapipe pose landmark coordinates | 1.87 | 1 | 5247 | 15 |
mediapipe pose multiple person | 0.09 | 0.3 | 5616 | 1 |
mediapipe face_detection | 0.26 | 0.2 | 676 | 89 |
mediapipe draw_detection | 1.81 | 0.9 | 5259 | 97 |
mediapipe.solutions.face_detection | 0.79 | 0.5 | 290 | 48 |