Datasets:

Modalities:
Image
Video
Formats:
parquet
Size:
< 1K
Libraries:
Datasets
pandas
License:
MohamedTEV commited on
Commit
9786b26
·
verified ·
1 Parent(s): 9ef9351

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +5 -4
README.md CHANGED
@@ -33,16 +33,17 @@ configs:
33
 
34
 
35
  ---
 
36
  # Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging
37
- This dataset (recorded with a Realsense D456 camera), associated with our work accepted in the 'IEEE/CAA Journal of Automatica Sinica', includes images and corresponding instance segmentation annotations (in YOLO format) of hake fish steaks on an industrial conveyor belt. It also provides BAG files for two quality grades of fish steaks (A and B), where A-grade steaks are generally larger.
38
- The paper details our use of YOLOv8 instance segmentation (Check [here](https://docs.ultralytics.com/models/yolov8/) how to train and validate the model) to isolate the fish steaks and the subsequent measurement of their size using the depth data from the BAG files.
39
 
40
- 🤗 [Paper on Hugging Face]Coming soon ... | 📝 [Paper on ArXiv] Coming soon ...
41
 
42
  ## 🗂️ BAG files & trained segmentation model:
43
  Please first read the associated paper to understand the proposed pipeline.
44
 
45
- The BAG files for A and B grades, as well as the weights of the trained segmentation model (best.pt and last.pt), can be found [here.](https://fbk-my.sharepoint.com/:f:/g/personal/mmekhalfi_fbk_eu/ElmBGeHUIwpPveSRrfd7qu4BQpAiWsOo70m8__V875yggw?e=1L0iTT).
46
 
47
  The segmentation model is designed to segment fish samples. The BAG files are intended for testing purposes. For example, you could use the provided model weights to segment the RGB images within the BAG files and then measure their size based on the depth data.
48
 
 
33
 
34
 
35
  ---
36
+
37
  # Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging
38
+ This dataset (recorded with a Realsense D456 camera), associated with our work accepted in the **<span style="color:green">IEEE/CAA Journal of Automatica Sinica</span>**, includes images and corresponding instance segmentation annotations (in YOLO format) of hake fish steaks on an industrial conveyor belt. It also provides BAG files for two quality grades of fish steaks (A and B), where A-grade steaks are generally larger.
39
+ The paper details our use of YOLOv8 instance segmentation (Check [**<span style="color:red">HERE</span>**](https://docs.ultralytics.com/models/yolov8/) how to train and validate the model) to isolate the fish steaks and the subsequent measurement of their size using the depth data from the BAG files.
40
 
41
+ 🤗 [Paper]**<span style="color:orange"> Coming soon ...</span>**
42
 
43
  ## 🗂️ BAG files & trained segmentation model:
44
  Please first read the associated paper to understand the proposed pipeline.
45
 
46
+ The BAG files for A and B grades, as well as the weights of the trained segmentation model (best.pt and last.pt), can be found [[**<span style="color:red">HERE</span>**].](https://fbk-my.sharepoint.com/:f:/g/personal/mmekhalfi_fbk_eu/ElmBGeHUIwpPveSRrfd7qu4BQpAiWsOo70m8__V875yggw?e=1L0iTT).
47
 
48
  The segmentation model is designed to segment fish samples. The BAG files are intended for testing purposes. For example, you could use the provided model weights to segment the RGB images within the BAG files and then measure their size based on the depth data.
49