Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017) [arxiv] by Donghyeon Won, Zachary C. Steinert-Threlkeld, Jungseock Joo.

Pytorch
NumPy
pandas
scikit-learn

python train.py --data_dir UCLA-protest/ --batch_size 32 --lr 0.002 --print_freq 100 --epochs 100 --cuda

python pred.py --img_dir path/to/some/image/directory/ --output_csvpath result.csv --model model_best.pth.tar --cuda

You will need to download our UCLA Protest Image Dataset to train the model. Please e-mail me if you want to download our dataset!

# of images: 40,764
# of protest images: 11,659

We fine-tuned ImageNet pretrained ResNet50 to our data. You can download the model I trained from this Dropbox link.

Protest	Sign	Photo

Fire	Police	Children

Group>20	Group>100	Flag

Night	Shouting	Violence