Micronutrient Deficiency Data

Paper : Assessment of Inference Improvements for Facial Micronutrient Deficiency Detection using Attention-Enhanced YOLOv5Authors : Amey Agarwal, Shreya Rathod, Riva Rodrigues, Nirmitee Sarode, Dhananjay R. KalbandeDesciptionThis is a dataset of 7 classes : 6 facial skin problems and 1 null class.A facial skin problem may be identified in an image and marked using Bounding Box Annotation.SizeMicronutrientDeficiencyData-1 Folder size : 169 MBPlatformNo specific platform required.EnvironmnentNo specific environment required.DirectoryMicronutrientDeficiencyData-1|--->data.yaml|--->README.dataset.txt|--->README.roboflow.txt|--->test       |--->images/*.jpg       |--->labels/*.txt|--->train       |--->images/*.jpg       |--->labels/*.txt|--->valid       |--->images/*.jpg       |--->labels/*.txtClass Namesclass_id : class_name0 : acne1 : blackhead2 : darkspot3 : freckle4 : nodules5 : skinredness6 : nullTXT file format Format : YOLOv5 PyTorch TXT class_id center_x center_y width heightReference Support : https://roboflow.com/formats/yolov5-pytorch-txtTraining Instructions1) !git clone https://github.com/ultralytics/yolov52) !pip install -r yolov5/requirements.txt3) !python yolov5/train.py --img 640 --batch 16 --epochs 300 --data yolov5/MicronutrientDeficiencyData-1/data.yaml --cfg yolov5/models/yolov5s.yaml --weights '' --save-period 10References (Open-Source Datasets)1) https://universe.roboflow.com/testing-rfihx/facial-health/dataset/12) https://github.com/xpwu95/LDL3) https://universe.roboflow.com/kritsakorn/acne-kbm0q4) https://universe.roboflow.com/bdle-9kwmc/skin-problems-2eamt5) https://universe.roboflow.com/dermafie/dermafie6) https://universe.roboflow.com/sanjanar-yktgw/normal-bwevzAuthor ContactAmey Agarwal : [e-mail] R. Kalbande : [e-mail] Rathod : [e-mail] Sarode : [e-mail] Rodrigues : [e-mail]