{"url":"/dataset/bike-and-car-odometer-dataset-speedometer-ocr","name":"Bike and Car Odometer Dataset ! Speedometer OCR","full_name":"datacluster.ai","description_markdown":"This dataset consists of odometer or speedometer images of bike and car vehicles.\r\n\r\n### **Introduction**\r\nThis dataset can be used to detect or recognize odometer readings of the vehicles. Moreover, it can be used to classify the make of the car and bikes. The usecases can in the domain of insurance, repair and OCR.\r\n\r\n### **Dataset Features**\r\n- Captured by 4000+ unique users\r\n- Rich in diversity\r\n- Mobile phone view point\r\n- Various lighting conditions\r\n- Digital and Analog Categories\r\n- Vehicle Model Types\r\n\r\n### **Dataset Features**\r\n- Classification and detection annotations available\r\n- Multiple category annotations possible\r\n- COCO, PASCAL VOC and YOLO formats\r\n\r\n*To download full datasets or to submit a request for your dataset needs, please ping us on **sales@datacluster.ai***\r\nVisit www.datacluster.in to know more.\r\n\r\n**Note**:\r\nAll the images are manually verified and are contributed by the large contributor base on DataCluster platform","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/dataclusterlabs/bike-and-car-odometer-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Optical Charater Recogntion","url":"/task/optical-charater-recogntion","datasets_with_task":"/datasets/task/optical-charater-recogntion"},{"name":"Monocular Visual Odometry","url":"/task/monocular-visual-odometry","datasets_with_task":"/datasets/task/monocular-visual-odometry"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Bike and Car Odometer Dataset ! Speedometer OCR"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}