Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle
Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle copied to clipboard
AlirezaShamsoshoara
labels and annotations
please where can i find the labels and annotations of images (training and test) for classification thank you !
@Aicha-kha There is no meaning to have annotation for (Fire/No_Fire) image classification. If you mean annotation images for the Fire segmentation, they are available in item-10 of the Table (BINARY PNG Images for the segmentation, 2003 images).
Thank you Sir for answering me . I need labels for object detection with yolo and Faster R-CNN algorithms. I want to use FLAME dataset to detect fire in images.
On Mon, Sep 20, 2021, 16:45 AlirezaShamsoshoara @.***> wrote:
@Aicha-kha https://github.com/Aicha-kha There is no meaning to have annotation for (Fire/No_Fire) image classification. If you mean annotation images for the Fire segmentation, they are available in item-10 of the Table (BINARY PNG Images for the segmentation, 2003 images).
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle/issues/6#issuecomment-923048633, or unsubscribe https://github.com/notifications/unsubscribe-auth/AT5NWAM5P5F73WX4G6KP3LTUC5JIZANCNFSM5ELYWFPQ . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.
@Aicha-kha Sure, Okay Image classification labels are provided in items 7 and 8 for Training, Testing, and Validation. Labels are Fire and No Fire. If you need more labels based on your problem, you may use this dataset and create your labels.
If you need to segment Fire from images, you may use 9 and 10 to extract fire object. For this annotation (segmentation), there are two labels for pixels (Fire) and background (No_Fire). If you need other labels for other objects such as ground, sky, trees, snow, etc., you may label it yourself. There are different apps and tools to create your labels such Matlab Image Labeler or other open source tools.
Thank you so much sir have a good day.
On Mon, Sep 20, 2021, 17:09 AlirezaShamsoshoara @.***> wrote:
@Aicha-kha https://github.com/Aicha-kha Sure, Okay Image classification labels are provided in items 7 and 8 for Training, Testing, and Validation. Labels are Fire and No Fire. If you need more labels based on your problem, you may use this dataset and create your labels.
If you need to segment Fire from images, you may use 9 and 10 to extract fire object. For this annotation (segmentation), there are two labels for pixels (Fire) and background (No_Fire). If you need other labels for other objects such as ground, sky, trees, snow, etc., you may label it yourself. There are different apps and tools to create your labels such Matlab Image Labeler or other open source tools.
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/AlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle/issues/6#issuecomment-923068150, or unsubscribe https://github.com/notifications/unsubscribe-auth/AT5NWAIBZ3S2FP5X6UXVPE3UC5MB5ANCNFSM5ELYWFPQ . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.