HyperAI

WPI Traffic Dataset

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The WPI dataset is a dataset that records and analyzes video of traffic lights, pedestrians, and lane data.

The dataset includes:

  • WPI traffic light dataset: (Frames_GT_wHolder: all frames with labels. Each folder is a traffic light type with a holder, and only that type is labeled (Ground truth contains the traffic light holder). A frame contains multiple types of traffic lights that may appear in different folders; Frames_GT_Lights: all frames with labels. These sequences are labeled for a single traffic light of all types. Sequences 8, 9, and 10 have no traffic lights)
  • WPI Pedestrian Dataset: 19 test sequences, 29 training sequences
  • WPI Lane Keeping Dataset: Provides camera parameters, images, speed, and steering wheel angles

The test data were collected during winter in Worcester, Massachusetts, USA.

WPI.torrent
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  • WPI/
    • README.md
      1.33 KB
    • README.txt
      2.66 KB
      • data/
          • WPI Lane Keeping Dataset/
            • LaneKeepingDataset.zip
              15.88 GB
          • WPI Pedestrian Dataset/
            • Pedestrian.zip
              20.45 GB
          • WPI Traffic Light Dataset/
              • Test Data/
                • Test.zip
                  23.51 GB
              • Training Data [Optional]/
                • Frames_GT_Lights.zip
                  25.04 GB
                • Frames_GT_wHolder.zip
                  35.56 GB
              • Training Data/
                • Samples.zip
                  35.64 GB