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Exports for FISH9001 & FISH9002
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pablodz committed Dec 11, 2020
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34 changes: 28 additions & 6 deletions README.md
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Datasets of fish for deep learning. PR if you want to add one.


# Datasets

- All datasets available on: https://bit.ly/34xV7al Link to Google Drive ✔️

## Datasets Standardized

Thanks to Roboflow, we can export for different formats:

- Powered by Roboflow (All images resized to 416x416): **JSON** (`COCO`, `CreateML`), **XML** (`Pascal VOC`), **TXT** (`YOLO Darknet`, `YOLO v3 Keras`, `YOLO v4 PyTorch`, `YOLO v5 PyTorch`), **CSV** (`Tensorflow Object Detection`, `RetinaNet Keras`, `Multiclass Classification`), **Others** (`Tensorflow TFRecord`).

- Powered by CVAT (All images original size): **JSON** (`COCO`, `Datumaro`), **XML** (`CVAT Image`, `CVAT Video`, `LabelMe`, `PASCAL VOC`), **TXT** (`MOT`, `YOLO`), **JPG,PNG** (`ImageNet`, `Segmentation Mask`), **Others** (`Tensorflow TFRecord`).

`Choose just one zip file for one model, select the zip file accord to your model.`

| Date | Images | Classes | Download dataset & Code (TR70/VL20/TS10) |
| ---------- | ---------- | -------- | ------------------------------------- |
| 2020-12-11 | 723 (301) | 1 | [FISH9002](https://bit.ly/34BvYeM) ✔️ |
| 2020-10-18 | 301 | 1 | [FISH9001](https://bit.ly/34BvYeM) ✔️ |

### Downloading and using dataset

Example code to use only with Roboflow [notebooks](https://models.roboflow.com/object-detection) to use the repo and locate correctly.


```
# Instead of doing:
!curl -L "ROBOFLOW LINK" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip
# Use:
!gdown --id "ID OF THE GOOGLE DRIVE ZIP" > roboflow.zip; unzip roboflow.zip; rm roboflow.zip
```

## Resources [Update 2020-08-05]

Keywords to find these datasets: fish, trout
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- 2020-08-25 [FishBase](https://www.fishbase.de/) 1
- 2020-08-26 [CoCo Dataset](https://cocodataset.org/) 1

## List of datasets found
### List of datasets found

- 2020-08-25 FISH0014 https://www.kaggle.com/ssfailearning/futurefish (351MB) ✔️
- 2020-08-25 FISH0013 https://www.kaggle.com/jasmeetkaur/fishdataset (3.0GB) ✔️
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- 2020-08-25 FISH0003 https://apps.aims.gov.au/metadata/view/38c829d4-6b6d-44a1-9476-f9b0955ce0b8 () ✔️
- 2020-08-25 FISH0002 https://www.fishbase.de/photos/ThumbnailsSummary.php?Genus=Oncorhynchus&Species=mykiss (34MB) ✔️
- 2020-08-25 FISH0001 https://github.com/cocodataset/cocoapi (API Connection) ✔️

### Dataset prepared for our investigation

- 2020-08-26 FISH9999 https://bit.ly/34BvYeM ✔️
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gdown

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