A Python project which can detect gender and age using OpenCV of the person (face) in a picture or through webcam. - smahesh29/Gender-and-Age-Detection
To compare the mean values, the unequal variance t-test was performed using the Python package Scipy version 1.4.0. A two-tailed p value < 0.05 was considered statistically significant. For a deeper understanding of the learned regions of the model, we generated a heat map with class ...
The performance of RetinaFace is very satisfactory even in the crowd as seen in the following illustration. Besides, it comes with an incredible facial landmark detection performance. Highlighted red points show some facial landmarks such as eyes, nose and mouth. That's why, alignment score of...
In this study, however, gender and age prediction were tested using the Confusion Matrix and Mean Absolute Error (MAE). Python was the programming language utilized in this study. Python is a high-level, general-purpose programming language that is interpreted. Precision, recall, f1score and ...
Using spectra from over 40, 000 ecologically and genetically diverse An. gambiae, An. arabiensis, and An. coluzzii females, we develop a deep transfer learning model that learns and predicts the age of new wild populations in Tanzania and Burkina Faso with minimal sampling effort. Additionally...
A study of suggestions in opinionated texts and their automatic detection Proceedings of the fifth joint conference on lexical and computational semantics (2016), pp. 170-178, 10.18653/v1/S16-2022 View in ScopusGoogle Scholar Ni et al., 2021 L. Ni, Q. Bao, X. Li, Q. Qi, P. Denny,...
Once we understand our basic algorithm, we’ll then implement our child soldier detection method using Python, OpenCV, and Keras/TensorFlow. We’ll wrap up the tutorial by examining the results of our work. Children in the military, c...
and compliance in the task relative to the direction version. Many of these changes were based on prior experience developing a visual change detection task for young children (Simmering,2012), and multiple changes were introduced simultaneously because the original goal was not a controlled comparison...
25 Research on ophthalmic photographs used to detect diabetic retinopathy found that using better photographic technology to repeat photographs that were not possible to grade using previous technology increased the detection of diabetic retinopathy by 85%.26 Second, we used Medicare Part B FFS data ...
ML-RPG was developed using Python version 3.8.13. The vision sensor, as well as monitors (A) and (B), are connected to the computer. The vision sensor used is the Leap Motion sensor made by Ultra Leap, which consists of two stereo cameras and infrared LEDs. The hand's 3D position ...