car-data
caramel-train-data4-entries518careermatch-llama3-8b-loratrocr-medieval-latin-carolinegroot-cart_imp_datascenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_cfine-tuned-cardiffnlp-twitter-roberta-base-sentiment-finance-datasetscenario-TCR_data-cl-cardiff_cl_only3scenario-TCR-XLMV_data-cardiffnlp_tweet_sentiment_multilingual_all_gamma2
Datasets
All datasets matching “car-data”car-bench-dataset
CAR-Bench Dataset
CAR-Bench is a benchmark for evaluating AI voice assistants in a realistic automotive (car) environment.
It tests an agent's ability to correctly use vehicle control tools, handle disambiguation, and avoid hallucinations.
Dataset Structure
The dataset is organized into task configs and mock data configs:
Tasks
Each task defines a user persona, an instruction, the initial vehicle/environment context, and the ground-truth sequence of tool-call… See the full description on the dataset page: https://huggingface.co/datasets/johanneskirmayr/car-bench-dataset.car-dataset-repo-v3car-dataset-repocar-parts-and-damage-dataset
Car Parts and Damages Polygon Dataset
Dataset Summary
The Car Parts and Damages Polygon Dataset consists of 1,812 high-resolution images, each annotated with polygon-based segmentation masks for either car parts or car damages. The dataset is designed to support training and evaluation of deep learning models for fine-grained object detection, instance segmentation, and automotive inspection tasks.
✅ Key Stats:
Total images: 1,812
Car parts: 998 images
Car… See the full description on the dataset page: https://huggingface.co/datasets/DrBimmer/car-parts-and-damage-dataset.car-damage-dataset
Car Damage Images
A raw image collection for vehicle damage assessment. Unlabeled: these images
have no annotations yet and are intended as source material for labeling or
pre-training.
Structure
images/
001/ images_001.jpg images_002.jpg ...
002/ ...
... 683 folders
thumbnails/
001/ thumbnail_001.jpg thumbnail_002.jpg ...
... 683 folders
Branch
Files
Folders
Size… See the full description on the dataset page: https://huggingface.co/datasets/Naiscorp/car-damage-dataset.ESP32-CAM_Autonomous_Line-Following_Car_Dataset
Lighting-related limitation
Most right-turn samples were recorded under lower-light conditions than those found at the official track. As a result, the model may have unintentionally associated darker images, contrast levels, shadows, or camera exposure settings with right-turn commands.
Under brighter lighting, the floor may produce different reflections and the tape may have a different contrast. Even though visibility appears better to a person, these images may differ from… See the full description on the dataset page: https://huggingface.co/datasets/pdDuduzin/ESP32-CAM_Autonomous_Line-Following_Car_Dataset.