Duplicate from vapaau/autofish

Co-authored-by: Vasiliki Ismiroglou <vismiroglou@users.noreply.huggingface.co>

.gitattributes

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+*tfevents* filter=lfs diff=lfs merge=lfs -text
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+*.pcm filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+task_categories:
+- image-segmentation
+- mask-generation
+language:
+- en
+license: cc-by-4.0
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+configs:
+  - config_name: example_images
+    data_files:
+      # - split: group_1
+      #   path:
+      #   - metadata.csv
+      #   - "group_01/*.png"
+      # - split: group_2
+      #   path:
+      #   - metadata.csv
+      #   - "group_02/*.png"
+      # - split: group_3
+      #   path:
+      #   - metadata.csv
+      #   - "group_03/*.png"
+      # - split: group_4
+      #   path:
+      #   - metadata.csv
+      #   - "group_04/*.png"
+      # - split: group_5
+      #   path:
+      #   - metadata.csv
+      #   - "group_05/*.png"
+      # - split: group_6
+      #   path:
+      #   - metadata.csv
+      #   - "group_06/*.png"
+      # - split: group_7
+      #   path:
+      #   - metadata.csv
+      #   - "group_07/*.png"
+      # - split: group_8
+      #   path:
+      #   - metadata.csv
+      #   - "group_08/*.png"
+      - split: group_9
+        path:
+        - metadata.csv
+        - "group_09/*.png"
+      # - split: group_10
+      #   path:
+      #   - metadata.csv
+      #   - "group_10/*.png"
+      # - split: group_11
+      #   path:
+      #   - metadata.csv
+      #   - "group_11/*.png"
+      # - split: group_12
+      #   path:
+      #   - metadata.csv
+      #   - "group_12/*.png"
+      # - split: group_13
+      #   path:
+      #   - metadata.csv
+      #   - "group_13/*.png"
+      # - split: group_14
+      #   path:
+      #   - metadata.csv
+      #   - "group_14/*.png"
+      # - split: group_15
+      #   path:
+      #   - metadata.csv
+      #   - "group_15/*.png"
+      # - split: group_16
+      #   path:
+      #   - metadata.csv
+      #   - "group_16/*.png"
+      # - split: group_17
+      #   path:
+      #   - metadata.csv
+      #   - "group_17/*.png"
+      # - split: group_18
+      #   path:
+      #   - metadata.csv
+      #   - "group_18/*.png"
+      # - split: group_19
+      #   path:
+      #   - metadata.csv
+      #   - "group_19/*.png"
+      # - split: group_20
+      #   path:
+      #   - metadata.csv
+      #   - "group_20/*.png"
+      # - split: group_21
+      #   path:
+      #   - metadata.csv
+      #   - "group_21/*.png"
+      # - split: group_22
+      #   path:
+      #   - metadata.csv
+      #   - "group_22/*.png"
+      # - split: group_23
+      #   path:
+      #   - metadata.csv
+      #   - "group_23/*.png"
+      - split: group_24
+        path:
+        - metadata.csv
+        - "group_24/*.png"
+      # - split: group_25
+      #   path:
+      #   - metadata.csv
+      #   - "group_25/*.png"
+      # 
+---
+
+The **AUTOFISH** dataset comprises 1500 high-quality images of fish on a conveyor belt. It features 454 unique fish with class labels, IDs, manual length measurements, 
+and a total of 18,160 instance segmentation masks.
+
+The fish are partitioned into 25 groups, with 14 to 24 fish in each group. Each fish only appears in one group, making it easy to create training splits. The
+number of fish and distribution of species in each group were pseudo-randomly selected to mimic real-world scenarios. 
+
+Every group is partitioned into three subsets: *Set1*, *Set2*, and *All*. *Set1* and *Set2* contain half of the fish each, and none of the
+fish overlap or touch each other. *All* contains all the fish from the group, purposely placed in positions with high overlap. Every group contains 20 images for
+each set, where variation is introduced by changing the position and orientation of the fish. Half the images of a set are with the fish on one side, while the other
+half has the fish flipped. This structure can be seen in the dataset viewer*. 
+
+The following figures display some examples with overlaid annotations:
+
+|          |          |
+|----------|----------|
+|  <img src="example_images/1083.png" width="450px" /> | <img src="example_images/81.png" width="450px"/> |
+| <img src="example_images/298.png" width="450px" /> | <img src="example_images/765.png" width="450px" /> |
+
+The available classes are:
+- Cod
+- Haddock
+- Whiting
+- Hake
+- Horse mackerel
+- Other
+
+Other information contained in the annotations:
+- Segmentation masks
+- Bounding boxes
+- Lengths
+- Unique fish IDs
+- 'Side up' referring to the side of the fish that is visible
+
+In addition to all the labeled data, two high-overlap 
+unlabeled groups, as well as camera calibration images are included.
+
+You can load this dataset with a default split configuration using the datasets library
+```python
+dataset = datasets.load_dataset('vapaau/autofish', revision='script', trust_remote_code=True)
+```
+
+If you use this dataset for your work, please cite:
+```yaml
+@misc{bengtson2025autofishdatasetbenchmarkfinegrained,
+      title={AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish}, 
+      author={Stefan Hein Bengtson and Daniel Lehotský and Vasiliki Ismiroglou and Niels Madsen and Thomas B. Moeslund and Malte Pedersen},
+      year={2025},
+      eprint={2501.03767},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2501.03767}, 
+}
+```
+
+### Ethical Statement
+Fish used in these experiments were caught and landed by fishermen following relevant legislation and normal fishing procedures.
+The Danish Ministry of Food, Agriculture and Fisheries of Denmark was contacted before fish collection to ensure compliance with legislation.
+The fish were dead at landing and only dead fish were included in this experiment.
+There is no conflict with the European Union (EU) directive on animal experimentation (article 3, 20.10.2010, Official Journal of the European Union L276/39) and Danish law (BEK nr 12, 07/01/2016).
+The laboratory facilities used at Aalborg University are approved according to relevant legislation. 
+___
+
+*Due to size limitations we chose to display 2 random groups on the dataset viewer instead of the entire dataset.

annotations.json

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