weizhiweide1/BMD-45

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.

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.

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.

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/activegalaxy/UVH-26.

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.

Dataset Card for Alpaca-Cleaned Repository: https://github.com/gururise/AlpacaDataCleaned Dataset Description This is a cleaned version of the original Alpaca Dataset released by Stanford. The following issues have been identified in the original release and fixed in this dataset: Hallucinations: Many instructions in the original dataset had instructions referencing data on the internet, which just caused GPT3 to hallucinate an answer. "instruction":"Summarize… See the full description on the dataset page: https://huggingface.co/datasets/yahma/alpaca-cleaned.

APIGen Function-Calling Datasets Paper | Website | Models This repo contains 60,000 data collected by APIGen, an automated data generation pipeline designed to produce verifiable high-quality datasets for function-calling applications. Each data in our dataset is verified through three hierarchical stages: format checking, actual function executions, and semantic verification, ensuring its reliability and correctness. We conducted human evaluation over 600 sampled data points… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/xlam-function-calling-60k.

Nemotron-Personas-Korea 우리나라 실제 분포에 기반한 합성 페르소나를 위한 복합 AI 시스템 A compound AI approach to personas grounded in real-world distributions 데이터셋 개요 (Overview) Nemotron-Personas-Korea는 대한민국의 실제 인구통계학적·지리적·성격 특성 분포를 기반으로 합성된 오픈소스 페르소나 데이터셋(CC BY 4.0)으로, 우리나라 인구의 다양성과 특성을 폭넓게 반영하도록 설계되었습니다. 이는 최초의 대규모 우리말 페르소나 데이터셋이며, 이름, 성별, 나이, 혼인 상태, 교육 수준, 직업, 거주 지역 등의 속성을 실제 대한민국 국가데이터처 국가통계포털(KOSIS), 대법원, 국민건강보험공단, 농촌경제연구원, NAVER Cloud 통계 자료를 기반으로 합성하였습니다.… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Personas-Korea.

Overview This dataset builds from WikiSQL and Spider. There are 78,577 examples of natural language queries, SQL CREATE TABLE statements, and SQL Query answering the question using the CREATE statement as context. This dataset was built with text-to-sql LLMs in mind, intending to prevent hallucination of column and table names often seen when trained on text-to-sql datasets. The CREATE TABLE statement can often be copy and pasted from different DBMS and provides table names… See the full description on the dataset page: https://huggingface.co/datasets/b-mc2/sql-create-context.