Roboflow Universe Testing Detection Test

Detection Test Computer Vision Project

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Images

103 images

Explore Dataset

Experimenting with the platform via ingesting a YouTube video of funny animals. Quickly labeled 100 images with 13 classes (way too few images and too many classes) to see how the platform worked end to end.

Pros

Upload from YouTube & frame sampling
Augmentations are an awesome addition.
Ease of use in an actual app.
Easier to use than a Jupyter notebook, especially without having to download huge amounts of dependencies.

Cons

Annotations felt kinda clunky, hard to undo / modify things.

Other

The model quality wasn't great... But what can you expect from 100 base images and quickly labeling things with waaaay too many classes? Performed as well as I'd expect for low quality data. If I had focused on just one animal I suspect even 100 images would've produced something pretty good.
100% delivered on the promise to democratize computer vision. Awesome.

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{
                            detection-test-qjcom_dataset,
                            title = { Detection Test Dataset },
                            type = { Open Source Dataset },
                            author = { Testing },
                            howpublished = { \url{ https://universe.roboflow.com/testing-6bfys/detection-test-qjcom } },
                            url = { https://universe.roboflow.com/testing-6bfys/detection-test-qjcom },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-06-21 },
                            }