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Aerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))

Home Page: https://ieee-dataport.org/open-access/flame-dataset-aerial-imagery-pile-burn-detection-using-drones-uavs

License: GNU General Public License v2.0

Python 97.71% MATLAB 2.29%
fire uav imagery classification segmentation keras tensorflow dataset dnn

fire-detection-uav-aerial-image-classification-segmentation-unmannedaerialvehicle's Issues

Mask file all is blank

Hello, Thank you for sharing your great dataset. When I downloaded dataset all Mask images were black here no masked imaged. Where I can find the masked images?

  • [
    image_1884
    ] all images is this kind

Test accuracy is not similar with the paper

Following are the results of my execution using your code (no modification in the hyperparameter and model):

model at 40 epoch,
(train) bin_accuracy: 0.9577
val_bin_accuracy: 0.9514
test_accuracy : 0.5724729895591736

model at 37 epoch (best model based on val set),
(train) bin_accuracy: 0.9568
val_bin_accuracy: 0.9820
test_accuracy : 0.6100730895996094
confusion matrix:
[[ 814. 2666.]
[ 694. 4443.]]

train and validation accuracy is actually similar enough, but the test accuracy is quite far from the paper.

labels and annotations

please where can i find the labels and annotations of images (training and test) for classification
thank you !

Erroneous IoU values

When I implemented your code and re-run it, I got different IoU values from the ones that you reported in the paper.
There is huge difference between these values i.e., you reported 78.17 IoU while I achieved 49.72 value of IoU.

Can you please confirm this?

Black Mask Files

The mask files given in the dataset are black images as corresponding to the input image data. Can you please upload the actual binary masks related to the input aerial images?

Segmentation on Jeston Nano

Hi,
since I'm working on NVIDIA Jetson Nano developer kit, and it cannot perform the training of the model due to RAM limitations, is there any chance you can provide the trained model so I can run just the segmentation script? I tried so, but it isn't possible without the training process.
Thanks in advance.

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