datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tartanaviation-adsb-19k-clean
TartanAviation ADS-B Dataset (19.7K Clean Samples)
Dataset Description
19,714 high-quality ADS-B trajectory datapoints from aircraft operations, rigorously cleaned and validated. Perfect for machine learning research in aviation, reinforcement learning, and trajectory prediction.
Key Features
19,714 clean samples (no missing data, no duplicates)
17 comprehensive features including aircraft ID, timestamp components, altitude, speed, heading, geolocation, and… See the full description on the dataset page: https://huggingface.co/datasets/SANIKKI/tartanaviation-adsb-19k-clean.tartanaviation-adsb-19k-clean
TartanAviation ADS-B Dataset (19.7K Clean Samples)
Dataset Description
19,714 high-quality ADS-B trajectory datapoints from aircraft operations, rigorously cleaned and validated. Perfect for machine learning research in aviation, reinforcement learning, and trajectory prediction.
Key Features
19,714 clean samples (no missing data, no duplicates)
17 comprehensive features including aircraft ID, timestamp components, altitude, speed, heading, geolocation, and… See the full description on the dataset page: https://huggingface.co/datasets/Pathange/tartanaviation-adsb-19k-clean.tartanaviation-adsb-19k-clean
TartanAviation ADS-B Dataset (19.7K Clean Samples)
Dataset Description
19,714 high-quality ADS-B trajectory datapoints from aircraft operations, rigorously cleaned and validated. Perfect for machine learning research in aviation, reinforcement learning, and trajectory prediction.
Key Features
19,714 clean samples (no missing data, no duplicates)
17 comprehensive features including aircraft ID, timestamp components, altitude, speed, heading… See the full description on the dataset page: https://huggingface.co/datasets/RunningCFOP/tartanaviation-adsb-19k-clean.tartanaviation-adsb-19k-clean
TartanAviation ADS-B Dataset (19.7K Clean Samples)
Dataset Description
19,714 high-quality ADS-B trajectory datapoints from aircraft operations, rigorously cleaned and validated. Perfect for machine learning research in aviation, reinforcement learning, and trajectory prediction.
Key Features
19,714 clean samples (no missing data, no duplicates)
17 comprehensive features including aircraft ID, timestamp components, altitude, speed, heading, geolocation, and… See the full description on the dataset page: https://huggingface.co/datasets/Gogul001/tartanaviation-adsb-19k-clean.