Pinned Repositories
Clothing-Pattern-Classification-Dataset-MD-Fashion-2-
This dataset aims to facilitate the development of AI models that can accurately recognize and classify over 30 common clothing patterns, enhancing online shopping experiences and supporting trend analysis.
Clothing-Segmentation-Dataset-MD-Fashion-3-
This dataset encompasses internet-collected images from various scenarios such as e-commerce platforms, fashion shows, social media, and offline user-generated content. It focuses on enabling precise segmentation of clothing items, including main human parts, clothing pieces, and accessories
Cloudy-Day-City-Road-Dash-Cam-Video-Dataset
The "Cloudy Day City Road Dash Cam Video Dataset" is crafted to address the challenges autonomous driving systems face in overcast weather conditions. It includes bounding boxes and tags for more than 10 object categories commonly encountered in urban settings.
Cloudy-Day-Crossroad-Dash-Cam-Video
This dataset annotates more than 10 typical urban object categories, including humans, cars, electric bicycles, vans, and trucks, amidst the unique challenges presented at crossroads during cloudy days.
Human-Body-High-Precision-Segmentation-MD-Image-022-
This dataset focuses on high-precision segmentation of the human body, capturing intricate details of limbs, clothing, facial features, skin, and accessories.
Human-Body-Segmentation-MD-Image-016-
This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios.
Human-Body-Semantic-Segmentation-Dataset-MD-Image-005-
This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios. With fine labeling of 19 human body areas, it facilitates advanced semantic segmentation tasks.
Indoor-Facial-182-Keypoints-Dataset-MD-Image-012-
Total 50 persons in indoor scenario, with balanced agender, age from 18 to 50. Each face is annotated with 182 key points, facilitating precise facial feature tracking and analysis.
Low-lighting-Dash-Cam-Video-Dataset
This dataset focuses on low lighting scenarios across various settings such as crossroads, avenues, and paths. It encompasses bounding boxes and tags for common urban objects like humans, cars, electric bicycles, vans, and trucks, providing a comprehensive view of the challenges faced by autonomous vehicles in reduced visibility.
Maadaadata
Config files for my GitHub profile.
Maadaadata's Repositories
Maadaadata/Clothing-Pattern-Classification-Dataset-MD-Fashion-2-
This dataset aims to facilitate the development of AI models that can accurately recognize and classify over 30 common clothing patterns, enhancing online shopping experiences and supporting trend analysis.
Maadaadata/Clothing-Segmentation-Dataset-MD-Fashion-3-
This dataset encompasses internet-collected images from various scenarios such as e-commerce platforms, fashion shows, social media, and offline user-generated content. It focuses on enabling precise segmentation of clothing items, including main human parts, clothing pieces, and accessories
Maadaadata/Cloudy-Day-City-Road-Dash-Cam-Video-Dataset
The "Cloudy Day City Road Dash Cam Video Dataset" is crafted to address the challenges autonomous driving systems face in overcast weather conditions. It includes bounding boxes and tags for more than 10 object categories commonly encountered in urban settings.
Maadaadata/Cloudy-Day-Crossroad-Dash-Cam-Video
This dataset annotates more than 10 typical urban object categories, including humans, cars, electric bicycles, vans, and trucks, amidst the unique challenges presented at crossroads during cloudy days.
Maadaadata/Human-Body-High-Precision-Segmentation-MD-Image-022-
This dataset focuses on high-precision segmentation of the human body, capturing intricate details of limbs, clothing, facial features, skin, and accessories.
Maadaadata/Human-Body-Segmentation-MD-Image-016-
This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios.
Maadaadata/Human-Body-Semantic-Segmentation-Dataset-MD-Image-005-
This dataset, featuring an even distribution across genders and ages from various countries, is ideal for applications requiring detailed analysis of human postures, hairstyles, and different scenarios. With fine labeling of 19 human body areas, it facilitates advanced semantic segmentation tasks.
Maadaadata/Indoor-Facial-182-Keypoints-Dataset-MD-Image-012-
Total 50 persons in indoor scenario, with balanced agender, age from 18 to 50. Each face is annotated with 182 key points, facilitating precise facial feature tracking and analysis.
Maadaadata/Low-lighting-Dash-Cam-Video-Dataset
This dataset focuses on low lighting scenarios across various settings such as crossroads, avenues, and paths. It encompasses bounding boxes and tags for common urban objects like humans, cars, electric bicycles, vans, and trucks, providing a comprehensive view of the challenges faced by autonomous vehicles in reduced visibility.
Maadaadata/Maadaadata
Config files for my GitHub profile.
Maadaadata/Rainy-Dash-Cam-Video-Dataset
This dataset focuses on rainy day scenarios in urban settings, including crossroads, avenues, and paths. It features bounding boxes and tags for over 10 common urban categories such as humans, cars, electric bicycles, vans, and trucks, under the variable and often difficult lighting conditions that accompany rainy weather.
Maadaadata/Segmentation-and-Key-Points-of-Human-Body-MD-Image-053-
This dataset is comprehensive, including instance and semantic segmentation of 27 categories of body parts along with 24 key points annotations, providing detailed data for human body analysis and applications.
Maadaadata/Single-person-Portrait-Matting-Dataset-MD-Image-003-
Our "Single-person Portrait Matting Dataset" is a pivotal resource for the fashion, media, and social media industries, providing finely labeled portrait images that capture a wide range of postures and hairstyles from various countries.
Maadaadata/Sunny-Day-City-Road-Dash-Cam-Video-Dataset
Driving Recorders Images. Resolution is over 1920 x 1080 and the number of frames per second of the video is over 33.
Maadaadata/Sunny-Day-Crossroads-Dash-Cam-Video-Dataset
This dataset provides clear and fluid visuals necessary for detailed analysis and AI training. It encompasses bounding boxes and tags for over 10 typical urban object categories, including humans, cars, electric bicycles, vans, trucks, and more.