Flybox Object Detection Dataset and Pre-Trained Model by Flybox

Images

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Explore Dataset

Here are a few use cases for this project:

Fly Fishing Inventory Management: Flybox can be employed in fly fishing shops or personal collections to automatically categorize and manage inventories of fishing flies based on their classes, making it easier for owners and customers to locate specific types.
Fishing Recommendations: Flybox can be integrated into fishing apps or websites to suggest suitable fishing flies, including Wooll Bugger, Chubby Chernobyl, Parachute Adams, and Elk Hair Caddis, based on environmental factors, fish species, and user preferences.
Automatic Fly Tying Tutorials: Flybox can be used to develop fly tying video tutorials where relevant instructions are displayed based on the identified fishing-fly class, simplifying the learning process for both beginners and experienced fly tyers.
Ecology and Species Monitoring: Flybox can assist in ecological research and monitoring by identifying the presence of different fishing flies in photos taken at various habitats or aquatic ecosystems, thus providing valuable data on their distribution patterns and species composition.
Fly Fishing Competition Judging: Flybox can be employed in fishing competitions to assess the accuracy and quality of handmade fishing flies submitted by participants against the standard Wooll Bugger, Chubby Chernobyl, Parachute Adams, and elk hair caddis fly classes, ensuring objective and efficient evaluations.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            flybox_dataset,
                            title = { Flybox Dataset },
                            type = { Open Source Dataset },
                            author = { Flybox },
                            howpublished = { \url{ https://universe.roboflow.com/flybox/flybox } },
                            url = { https://universe.roboflow.com/flybox/flybox },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-05-08 },
                            }