
Version 2: Re-upload to replace empty .npy files. IMPORTANT NOTE: pick/bridge_roof_2, pick/bridge_roof_3 and pick/bridge_roof_4 files have background movement (a walking person) and, as such, should be used carefully when deploying the dataset. ------------------------------------------------------------------------------------------------------------------------------------------------ Description: The Event-based Dataset of Assembly Tasks (EDAT24), features four representative assembly primitive actions, idle, pick, place, and screw, collected by using the objects from the open-source benchmark CT-Benchmark. The dataset features a total of 400 recordings, with 100 samples for each primitive action. Available Data: The EDAT24 dataset contains a total of 400 sample videos recorded with the DAVIS240C where the event camera captured events and APS frames simultaneously with a resolution of 240 pixels × 180 pixels. DAVIS APS data are captured at 20 fps (frames per second). Event data is available in the original recorded format, .aedat (AEDAT 2.0), and is accompanied with a .csv file containing the timestamps with the start and end time of the recording, and with a .npy file which contains the information from the events (coordinates x and y, timestamp and polarity). The videos are labelled using the format primitive/task_nSample.aedat, where: primitive corresponds to the various primitive tasks (idle, pick, place, and screw) task corresponds to the name of the part of the CT-Benchmark the user is interacting with. nSample corresponds to the sample number for each task. The Python code used to record, timestamp and convert into .npy is available at here.
DAVIS, Computer Vision, Event Camera
DAVIS, Computer Vision, Event Camera
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