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README.md
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- image-to-image
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- object-detection
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tags:
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dataset_info:
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- config_name: video_01
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features:
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The dataset contains frames extracted from videos with people riding electric scooters. Each frame is accompanied by **bounding box** that specifically **tracks the electric scooter** in the image.
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[
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This dataset can be useful for *object detection, motion tracking, behavior analysis, autonomous vehicle development and smart city*.
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# Object tracking might be made in accordance with your requirements.
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
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TrainingData's GitHub: **https://github.com/trainingdata-pro**
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*keywords: electric scooter gps, e-scooter, e-bike, navigation, vehicle tracking algorithm, vehicle tracking dataset, object detection, multiple-object vehicle tracking, vehicle image dataset, labeled web tracking dataset, image dataset, classification, computer vision, machine learning, cctv, camera detection, surveillance, security camera, security camera object detection, video-based monitoring, smart city, smart city development, smart city vision, smart city deep learning, smart city management*
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- image-to-image
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- object-detection
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tags:
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- electric scooter
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- e-scooter
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- vehicle tracking
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- object detection
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- multiple-object vehicle tracking
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dataset_info:
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- config_name: video_01
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features:
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The dataset contains frames extracted from videos with people riding electric scooters. Each frame is accompanied by **bounding box** that specifically **tracks the electric scooter** in the image.
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=electric-scooters-tracking)** to buy the dataset
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This dataset can be useful for *object detection, motion tracking, behavior analysis, autonomous vehicle development and smart city*.
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# Object tracking might be made in accordance with your requirements.
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=electric-scooters-tracking)** to discuss your requirements, learn about the price and buy the dataset
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Leave a request on [our website](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=electric-scooters-tracking) to discuss your requirements, learn about the price and buy the dataset.
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## [Our Team](https://unidata.pro/datasets/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=electric-scooters-tracking) provides high-quality data annotation tailored to your needs
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*keywords: electric scooter gps, e-scooter, e-bike, navigation, vehicle tracking algorithm, vehicle tracking dataset, object detection, multiple-object vehicle tracking, vehicle image dataset, labeled web tracking dataset, image dataset, classification, computer vision, machine learning, cctv, camera detection, surveillance, security camera, security camera object detection, video-based monitoring, smart city, smart city development, smart city vision, smart city deep learning, smart city management*
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