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.

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.

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 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.

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.

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.

HelpSteer2: Open-source dataset for training top-performing reward models HelpSteer2 is an open-source Helpfulness Dataset (CC-BY-4.0) that supports aligning models to become more helpful, factually correct and coherent, while being adjustable in terms of the complexity and verbosity of its responses. This dataset has been created in partnership with Scale AI. When used to tune a Llama 3.1 70B Instruct Model, we achieve 94.1% on RewardBench, which makes it the best Reward… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/HelpSteer2.

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.