INSECTT Anomaly detection SETA Dataset
Long, untrimmed real-world surveillance videos with 11 realistic anomalies recorded with a series of CCTV cameras placed inside SETA buses.
Dataset Hightlights:
- 58 different bus rides from 2020.
- up to 5 cameras with multiple angles
- 31 hours of video
- Divided in 182 sequence
The dateaset is up to date the largest dataset in the world about public transports anomalies in a single setting(Scenario). It uses non-crowdsourced data. Data are acquired on field in the operative scenario.
In order to be relased and compliant with privacy regulations the dataset has been anonimized with a custom software developed in the WP2 of INSECTT project
In brief the anonymization pipeline performs the following operations:
- Grayscale conversion.
- Downscale of the resolution by a factor.
- Upscale to the original resolution.
Dataset composition on anomalous event on buses:
The entire dataset is made up of 349 videos, of which 255 normal and 92 anomalous.
- The dataset collects 58 different bus rides from 2020.
- up to 5 cameras recording different sections of the bus cabin
- multiple angles,
- 31 hours of video
- Divided in 182 sequences splitted in 349 clips.
Train Test split:
For the train set, we used 50% normal videos (126) and 50% abnormal videos (45), due to the low number of abnormal videos. The test set, on the other hand, consists of the remaining 50% of anomalous videos and the same number of normal videos, to achieve class balancing on test data .
Availability:
Dataset is available for research purposes only and upon request. Contact segreteria.aimagelabATunimore.it for requests.
