wosdetc / challenge

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Is there only "drone" as labels ? #1

Open ujjawalcse opened 3 years ago

ujjawalcse commented 3 years ago

Hey, How many classes are there in the annotations. Is only 'drone' class or 'bird' class is also there?

wosdetc commented 3 years ago

Hi, only drone.

Best, Angelo

Il giorno 21 giu 2021, alle ore 12:20, 'Ujjawal Kumar Singh' via wosdetc @.***> ha scritto:

Hey, How many classes are there in the annotations. Is only 'drone' class or 'bird' class is also there?

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ujjawalcse commented 3 years ago

Thank you for your quick reply.

On Mon, 21 Jun 2021, 18:02 wosdetc, @.***> wrote:

Hi, only drone.

Best, Angelo

Il giorno 21 giu 2021, alle ore 12:20, 'Ujjawal Kumar Singh' via wosdetc @.***> ha scritto:

Hey, How many classes are there in the annotations. Is only 'drone' class or 'bird' class is also there?

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onetwothr1 commented 1 year ago

Hi, only drone. Best, Angelo

@wosdetc Why there's only drone and no bird? Isn't the dataset's name 'Drone VS Bird'?

dimouan commented 1 year ago

Dear @onetwothr1, creating an annotation of birds is not feasible especially for ones that are far from the camera as we cannot be sure if it is complete. On the other hand, videos contain birds that have to be ignored by the algorithms tested. This is the intuition behind the naming.

onetwothr1 commented 1 year ago

Dear @dimouan, thank you for your response. However, I'm having trouble understanding the meaning behind the phrase "intuition behind the name" that you mentioned. Isn't the purpose of your dataset to differentiate between birds and drones? Yes, it is challenging to distinguish between birds and drones, especially in bad weather conditions or when they are at a distance. I assumed that solving this problem was the purpose of creating your dataset. So, I'm curious why your dataset intentionally ignores birds.

dimouan commented 1 year ago

Dear @onetwothr1, the focus of the dataset is the detection of drones. Through our work on the domain, we have identified birds as one of the main sources of false positives. Therefore, we have created a dataset that includes drones but also birds that can act as a decoy to help advance research on. Birds are just false positives for our case, and thus are not annotated. We hope that the dataset is useful to the community.

onetwothr1 commented 1 year ago

Dear @dimouan, I perfectly understood. I appreciate you explaining my questions and organizing this dataset.