Projects in Awesome Lists by moatifbutt
A curated list of projects in awesome lists by moatifbutt .
https://github.com/moatifbutt/color-peel
we propose to generate a series of geometric shapes with target colors to disentangle (or peel off ) the target colors from the shapes. By jointly learning on multiple color-shape images, we found that the method can successfully disentangle the color and shape concepts.
color-learning colors diffusion-models generative-model prompt-learning pytorch stable-diffusion text-to-image vae
Last synced: 17 Dec 2024
https://github.com/moatifbutt/drivable-road-region-detection-and-steering-angle-estimation-method
A practical implementation of pixel level segmentation based road detection and steering angle estimation methods.
autonomous-driving autonomous-vehicles dataset deep-learning fcn panoptic-segmentation pytorch road-detection scene-recognition scene-segmentation scene-understanding self-driving-cars semantic-segmentation steering-angle-prediction
Last synced: 17 Dec 2024
https://github.com/moatifbutt/r2s100k
we introduce R2S100K---a large-scale dataset and benchmark for training and evaluation of road segmentation in challenging unstructured roadways.
autonomous-driving autonomous-vehicles carl computer-vision dataset deep-learning r2s100k road-segmentation scene-segmentation scene-understanding semantic-segmentation teacher-student-learning
Last synced: 05 May 2025
https://github.com/moatifbutt/traffsign
we present Deep Learning Laboratory’s Traffic Signboards Dataset (DLL-TraffSiD) to develop multi-lingual text detection and recognition methods for traffic signboards.
blstm dataset east english english-language india lstm lstm-neural-networks multilingual pakistan scene-text-detection scene-text-recognition text-detection text-detection-recognition text-recognition urdu urdu-language
Last synced: 03 Apr 2025
https://github.com/moatifbutt/carl-dataset
CARL-D comprises large-scale stereo vision-based driving videos captured from more than 100 cities of Pakistan, including motorways, dense and unpattern traffic scenarios of urban, rural, and hilly areas.
autonomous-driving autonomous-vehicles dataset deep-learning fcn object-detection panoptic-segmentation pytorch scene-recognition scene-understanding self-driving-car semantic-segmentation supervised-learning vehicle-detection vehicle-recognition
Last synced: 03 Apr 2025