bad performance for age and gender detection

a photo below is a female while the result is Male with age [38,43] 00004
My detection code is
import cv2
from libfaceid.detector import FaceDetectorModels, FaceDetector
from libfaceid.encoder  import FaceEncoderModels, FaceEncoder
from libfaceid.pose import FacePoseEstimatorModels, FacePoseEstimator
from libfaceid.age import FaceAgeEstimatorModels, FaceAgeEstimator
from libfaceid.gender import FaceGenderEstimatorModels, FaceGenderEstimator
from libfaceid.emotion import FaceEmotionEstimatorModels, FaceEmotionEstimator

# Set the input directories
INPUT_DIR_MODEL_DETECTION  = "models/detection/"
INPUT_DIR_MODEL_ENCODING= "models/encoding/"
INPUT_DIR_MODEL_ESTIMATION = "models/estimation/"

def label_face(frame, face_rect, face_id, confidence):
    (x, y, w, h) = face_rect
    cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 255, 255), 1)
    if face_id is not None:
        cv2.putText(frame, "{} {:.2f}%".format(face_id, confidence),
            (x+5,y+h-5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 1, cv2.LINE_AA)

def detect_face_age_gender(img_path):
    frame = cv2.imread(img_path)
    detector = FaceDetectorModels.MTCNN
    encoder = FaceEncoderModels.LBPH
    ageestimator = FaceAgeEstimatorModels.CV2CAFFE
    genderestimator = FaceGenderEstimatorModels.CV2CAFFE
    ages = []
    genders = []
    try:
        # Initialize face detection
        face_detector = FaceDetector(model=detector, path=INPUT_DIR_MODEL_DETECTION, minfacesize=120)
        # Initialize face pose/age/gender estimation
        face_age_estimator = FaceAgeEstimator(model=ageestimator, path=INPUT_DIR_MODEL_ESTIMATION)
        face_gender_estimator = FaceGenderEstimator(model=genderestimator, path=INPUT_DIR_MODEL_ESTIMATION)
        faces = face_detector.detect(frame)
        for (index, face) in enumerate(faces):
            (x, y, w, h) = face
            # Detect age, gender
            face_image = frame[y:y + h, h:h + w]
            age = face_age_estimator.estimate(frame, face_image)
            gender = face_gender_estimator.estimate(frame, face_image)
            ages.append(age)
            genders.append(gender)
    except:
        print("Warning, check if models and trained dataset models exists!")
    return ages,genders

test_img = "./00004.jpg"
ages,genders = detect_face_age_gender(test_img)
for i in enumerate(ages):
    print("face id %d ,age: %d ,gender: %s"%(i,int(ages[i]),str(genders[i])))
richmondu / libfaceid

bad performance for age and gender detection #18
