8 skills found
ultralytics / JSON2YOLOConvert JSON annotations into YOLO format.
Labelbox / Labelbox PythonThe data factory for next gen AI
Labelbox / Labelbox NotebooksRepository hosting labelbox notebooks for Labelbox SDK documentation tutorials
MadanMl / Fiftyone Yolov5 TutorialA repo containing the starting code/dataset (from roboflow.ai) for visualizing the YOLOv5 pred and ground truth together in Voxel-51 + Re-Labeling with Labelbox
caseydaly / LabelboxToTFRecordConvert Labelbox json format to TFRecord format.
Labelbox / LabelpandasLabelbox Connector for Pandas
sarisemih / Customize Flir DatasetConvert and customize FLIR dataset to YOLO txt files. Works with any Conservator formatted annotation (JSON) file.
SalehAliAlyahri / Face Emotion Yolov5In this project, I used the Yolov5 object detection algorithm to detect a person's feelings through a face if he is happy, normal, or sad. The steps of this project First, I started collecting datasets from google, focused on three categories happy, sad, and normal and each category collected about 200 images. Second, I uploaded the dataset to the Labelbox and then put a boundary box on all the image Third: - I have exported the Jason file that contains the boundary box information then I uploaded it to roboflow so that I can convert the Jason file to Yolov5 annotation format Fourth: - I used this colab https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ to help me to train YOLOv5 on Custom Objects fifth: - after I finished my train I saved my model and created a new notebook to use my model by upload image or video or use Webcam
