saerom24

s_pipe_data-set-4

Object Detection

s_pipe_data-set-4 Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

4510 images
Explore Dataset

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            s_pipe_data-set-4_dataset,
                            title = { s_pipe_data-set-4 Dataset },
                            type = { Open Source Dataset },
                            author = { saerom24 },
                            howpublished = { \url{ https://universe.roboflow.com/saerom24/s_pipe_data-set-4 } },
                            url = { https://universe.roboflow.com/saerom24/s_pipe_data-set-4 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-02 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the s_pipe_data-set-4 project in your project.

Source

saerom24

Last Updated

11 days ago

Project Type

Object Detection

Subject

pipe-defect-txz0-l50R

Views: 17

Views in previous 30 days: 17

Downloads: 1

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

BC_L BC_M BC_S BK_L BK_S CC_L CC_M CC_S CL_L CL_M CL_S CM_L CM_M CM_S CX_L DE_L DE_M DE_S DF_L DF_M DF_S DG_L DG_M DG_S DS_L DS_M DS_S HL_L HL_M HL_S IF_L IF_M IF_S JD_L JD_M JD_S JF_L JF_M JF_S JS_L JS_M JS_S LD_L LD_M LD_S LP_L LP_M LP_S LS_L LS_M LS_S NS_L NS_M NS_S PO_L PO_M PO_S RI_L RI_M RI_S SD_L SD_M SD_S SG_L SG_M SG_S TO_L TO_M TO_S