Datasets:
| license: cc-by-4.0 | |
| task_categories: | |
| - object-detection | |
| tags: | |
| - underwater | |
| - marine-life | |
| - brackish-water | |
| pretty_name: Brackish Underwater | |
| size_categories: | |
| - 10K<n<100K | |
| # Brackish Underwater | |
| An object detection dataset of underwater footage from brackish water environments in temperate waters, featuring various marine animals. | |
| ## Background | |
| This dataset was introduced in the CVPR 2019 workshop paper ["Detection of Marine Animals in a New Underwater Dataset with Varying Visibility"](https://openaccess.thecvf.com/content_CVPRW_2019/html/AAMVEM/Pedersen_Detection_of_Marine_Animals_in_a_New_Underwater_Dataset_with_CVPRW_2019_paper.html) by Pedersen, Haurum, Gade, and Moeslund from Aalborg University. | |
| The images were captured from permanently mounted cameras in saltwater straits for long-term marine species monitoring. It is one of the first annotated underwater image datasets from temperate waters. | |
| ## Classes | |
| - crab | |
| - fish | |
| - jellyfish | |
| - shrimp | |
| - small_fish | |
| - starfish | |
| ## Splits | |
| | Split | Images | | |
| |-------|--------| | |
| | train | 9,967 | | |
| | test | 1,238 | | |
| | valid | 1,239 | | |
| ## Data Format | |
| Each example contains: | |
| - `image`: The image (1920x1080) | |
| - `objects`: List of detected objects, each with: | |
| - `name`: Class name | |
| - `boxes`: Bounding boxes in normalized coordinates [x_min, y_min, x_max, y_max] (values in range [0, 1]) | |