Surfer Spotting Computer Vision Project
Overview
The Surfline Surfer Spotting dataset contains images with surfers floating on the coast. Each image contains one classification called "surfer" but may contain multiple surfers.
Example Footage
Using this Dataset
There are several deployment options available, including inferring via API, webcam, and curl command.
Here is a code snippet for to hit the hosted inference API you can use. Here are code snippets for more languages
const axios = require("axios");
const fs = require("fs");
const image = fs.readFileSync("YOUR_IMAGE.jpg", {
encoding: "base64"
});
axios({
method: "POST",
url: "https://detect.roboflow.com/surfer-spotting/2",
params: {
api_key: "YOUR_KEY"
},
data: image,
headers: {
"Content-Type": "application/x-www-form-urlencoded"
}
})
.then(function(response) {
console.log(response.data);
})
.catch(function(error) {
console.log(error.message);
});
Download Dataset
On the versions tab you can select the version you like, and choose to download in 26 annotation formats.
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{
surfer-spotting_dataset,
title = { Surfer Spotting Dataset },
type = { Open Source Dataset },
author = { Surfline },
howpublished = { \url{ https://universe.roboflow.com/surfline/surfer-spotting } },
url = { https://universe.roboflow.com/surfline/surfer-spotting },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-04-20 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Surfer Spotting project in your project.