Palmdetection

Crack_detection_experiment

Instance Segmentation

Roboflow Universe Palmdetection Crack_detection_experiment
1

Crack_detection_experiment Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

433 images
Explore Dataset

This images and some annot was taken from this:

@misc{ 400-img_dataset,
    title = { 400 img Dataset },
    type = { Open Source Dataset },
    author = { Master dissertation },
    howpublished = { \url{ https://universe.roboflow.com/master-dissertation/400-img } },
    url = { https://universe.roboflow.com/master-dissertation/400-img },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { dec },
    note = { visited on 2023-01-14 },
}

Anyway, the instance segmentation format was wrong with some annot because it has bbox labeled format (class Xcenter Ycenter Width Height) instead of segmentation format (class X1 Y1 X2 Y2 .... Xn Yn).

So, I corrected it

Trained Model API

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Connect Your Model With Program Logic

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Source

Palmdetection

Last Updated

a year ago

Project Type

Instance Segmentation

Subject

crack-spall

Views: 538

Views in previous 30 days: 18

Downloads: 27

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

Cracks-and-spalling object