tsrobcvai/ROI-1555_Rebar_Detection_and_Instance_Segmentation_Dataset
ROI-1555: Rebar Detection and Instance Segmentation Dataset ROI-1555 for rebar object detection and instance segmentation contains 1555 rebar images and their fine-labeled bounding boxes and pixel-wise masks. Diverse rebar specifications, layouts, application scenarios, and environmental conditions. Usage Here is an example to convert the annotations to MSCOCO 2017 format python cp -r 1260/img_label tools/data_annotated/train2017 cd tools python… See the full description on the dataset page: https://huggingface.co/datasets/tsrobcvai/ROI-1555_Rebar_Detection_and_Instance_Segmentation_Dataset.
| Author / organization | tsrobcvai |
|---|---|
| Downloads | 842 (as reported by Hugging Face) |
| Likes | 7 |
| Created | 19 February 2025 |
| Last updated at source | 5 May 2025 |
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- 17 Oct 2026 Description: ROI-1555: Rebar Detection and Instance Segmentation Dataset ROI-1555 for rebar object detection and instance segmentation contains 1555 rebar images and their fine-labeled bounding boxes and pixel-wise masks. Diverse rebar specifications, l → ROI-1555: Rebar Detection and Instance Segmentation Dataset ROI-1555 for rebar object detection and instance segmentation contains 1555 rebar images and their fine-labeled bounding boxes and pixel-wise masks. Diverse rebar specifications, l
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