kalyan1729/sentineledgedataset

Traffic Management Dataset A large-scale urban traffic dataset combining Bengaluru CCTV footage with the UA-DETRAC benchmark. Contains annotated images for vehicle detection, classification, and multi-object tracking across four sub-datasets totalling ~196,000 images. Dataset Structure ├── BMD-45-Train/ # 35,792 images, COCO format annotations │ ├── images_000/ │ └── _annotations.coco.json ├── UVH-26-Train/ # 17,387 images, COCO format… See the full description on the dataset page: https://huggingface.co/datasets/kalyan1729/trafficmanagementdataset.

Dataset Card for Street Videos Dataset This dataset contains a collection of street videos designed to support tasks such as video classification, object detection, and urban scene analysis. Each video captures various street environments, including urban settings, pedestrian areas, and traffic scenarios, to provide diverse training data for computer vision models. Dataset Details Dataset Description This dataset contains videos of street scenes… See the full description on the dataset page: https://huggingface.co/datasets/HumynLabs/Street-videos.

SoccerTrack v2 Ten university-level soccer matches (934 minutes) recorded by fixed panoramic camera systems whose field of view spans the entire pitch, released together with frame-level game state annotations and player-linked ball action events on the same footage. Contents Folder Contents videos/ 20 panoramic half-match videos (two 45-minute periods per match) gsr/ Game state annotations: one JSON per half (pitch coordinates, jersey-derived… See the full description on the dataset page: https://huggingface.co/datasets/atomscott/soccertrack-v2.

ArXiv | Models Models trained on UVH-26 deliver up to 31.5% higher mAP than COCO-pretrained baselines, demonstrating significant gains in real-world performance for Indian traffic scenarios. Dataset Card for UVH-26 (Urban Vision Hackathon Dataset) Dataset Summary UVH-26 is a large-scale, India-specific traffic-camera image dataset released by AIM @ IISc for research in intelligent transportation systems and… See the full description on the dataset page: https://huggingface.co/datasets/iisc-aim/UVH-26.

all-MiniLM-L6-v2 This is a sentence-transformers(https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search. Usage (Sentence-Transformers) Using t...

Dataset Card for Car Images Dataset Dataset Description This dataset contains a collection of car images designed to support tasks such as image classification, car detection, and autonomous driving research. The images feature cars in various settings, including streets and other environments, captured to provide diverse training data for computer vision models. The dataset aims to enable the development and benchmarking of models that can: Identify… See the full description on the dataset page: https://huggingface.co/datasets/HumynLabs/car-images.

👁️ Cataract-LMM: Large-Scale Multi-Source Multi-Task Benchmark for Surgical AI Welcome to the official repository for the Cataract-LMM dataset. Hosted on Hugging Face, this dataset represents a comprehensive, clinically representative benchmark designed to accelerate deep learning research in surgical video analysis. By bridging the gap between isolated, single-task datasets and the complex reality of surgical environments, Cataract-LMM… See the full description on the dataset page: https://huggingface.co/datasets/mjahmadi/Cataract-LMM.

BMD-45: Bengaluru Mobility Dataset A large-scale CCTV vehicle detection benchmark for Indian urban traffic Dataset Summary BMD-45 is a large-scale, India-specific vehicle detection dataset captured from 3,679 operational CCTV cameras across Bengaluru — one of the world's most traffic-congested megacities. Statistic Value Total images 45,986 (1920×1080 RGB) Total annotations ≈ 481,947 bounding boxes Vehicle classes 14 fine-grained categories… See the full description on the dataset page: https://huggingface.co/datasets/iisc-aim/BMD-45.

BMD-45: Bengaluru Mobility Dataset A large-scale CCTV vehicle detection benchmark for Indian urban traffic Dataset Summary BMD-45 is a large-scale, India-specific vehicle detection dataset captured from 3,679 operational CCTV cameras across Bengaluru — one of the world's most traffic-congested megacities. Statistic Value Total images 45,986 (1920×1080 RGB) Total annotations ≈ 481,947 bounding boxes Vehicle classes 14 fine-grained categories… See the full description on the dataset page: https://huggingface.co/datasets/weizhiweide1/BMD-45.