Robin Chriqui

Sharks detection

Sharks detection

Object Detection

Sharks detection Computer Vision Project


560 images
Explore Dataset

Here are a few use cases for this project:

  1. Marine Wildlife Research: Researchers can use the "Sharks detection" model to identify and classify different species of sharks in various marine ecosystems, aiding in ecological studies or conservation efforts.

  2. Public Safety: Lifeguards or beach management teams can implement the model into surveillance systems to detect sharks near beaches, helping alert swimmers and surfers if a potentially dangerous shark is nearby.

  3. Shark Tourism Management: The model can assist in recognizing and tracking specific species of sharks sighted on shark diving expeditions. This information can ensure tourist safety and enhance their understanding of different shark species.

  4. Media Production: Filmmakers or photographers can apply the detection model in post-production to categorize different sharks in their recordings or photos, especially in wildlife documentary production.

  5. Fishing Industry: Fishermen can incorporate the model to avoid certain shark species while fishing, thereby supporting sustainable fishing practices and reducing unintended shark bycatch.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ sharks-detection_dataset,
    title = { Sharks detection Dataset },
    type = { Open Source Dataset },
    author = { Robin Chriqui },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { feb },
    note = { visited on 2023-10-01 },


Robin Chriqui

Last Updated

8 months ago

Project Type

Object Detection




basking, blue, bull, hammerhead, human, whale, white

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CC BY 4.0