HyperAI

CORe50 Continuous Object Recognition Dataset

Date

2 years ago

Size

46.84 GB

Organization

CORe50 Dataset is a dataset benchmark for continuous object recognition, mainly used to evaluate continuous recognition in object recognition environments, as well as baseline methods for three different continuous learning scenarios.

This dataset was released by the University of Bologna in 2017. The main publishers are Vincenzo Lomonaco and Davide Maltoni. The related paper is "CORe50: a new Dataset and Benchmark for continual Object Recognition".

CORe50.torrent
Seeding 3Downloading 0Completed 668Total Downloads 1,597
  • CORe50/
    • README.md
      1014 字节
    • README.txt
      1.98 KB
      • data/
        • batches_filelists.zip
          43.32 MB
        • bbox.zip
          44.64 MB
        • core50_128x128.zip
          5.53 GB
        • core50_128x128_depth.zip
          6.37 GB
        • core50_350x350.zip
          32.19 GB
        • core50_350x350_depth.zip
          36.82 GB
        • core50_class_names.txt
          36.82 GB
        • core50_imgs.npz
          42.17 GB
        • core50_test.record
          43.23 GB
        • core50_train.record
          46.84 GB
        • dataset_dims.zip
          46.84 GB
        • labels2names.pkl
          46.84 GB
        • paths.pkl
          46.84 GB
    • samples_0.png
      46.84 GB
    • samples_1.png
      46.84 GB
    • samples_2.jpg
      46.84 GB