Fast tool for gaining insights from large image repositories.

Project description

Fastdup Tool

fastdup is a tool for gaining insights from a large image/video collection. It can find anomalies, duplicate and near duplicate images/videos, clusters of similarity, learn the normal behavior and temporal interactions between images/videos. It can be used for smart subsampling of a higher quality dataset, outlier removal, novelty detection of new information to be sent for tagging.

fastdup is:

Unsupervised: fits any dataset
Scalable : handles 400M images on a single machine
Efficient: works on CPU only
Low Cost: can process 12M images on a $1 cloud machine budget

Non Commercial License

Github Project Page

Project details

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This version

1.73

Dec 1, 2023

1.72

Nov 26, 2023

1.71

Nov 15, 2023

1.70

Nov 12, 2023

1.69

Nov 12, 2023

1.68

Nov 8, 2023

1.67

Nov 7, 2023

1.66

Nov 5, 2023

1.65

Nov 3, 2023

1.64

Oct 31, 2023

1.63

Oct 30, 2023

1.61

Oct 28, 2023

1.60

Oct 27, 2023

1.59

Oct 26, 2023

1.58

Oct 26, 2023

1.57

Oct 25, 2023

1.56

Oct 24, 2023

1.55

Oct 23, 2023

1.54

Oct 23, 2023

1.53

Oct 21, 2023

1.52

Oct 19, 2023

1.51

Oct 18, 2023

1.50

Oct 17, 2023

1.49

Oct 16, 2023

1.48

Oct 16, 2023

1.47

Oct 16, 2023

1.46

Oct 13, 2023

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fastdup-1.73-cp310-cp310-manylinux_2_31_x86_64.whl (75.2 MB view hashes)

Uploaded Dec 1, 2023 cp310

fastdup-1.73-cp39-cp39-manylinux_2_31_x86_64.whl (75.2 MB view hashes)

Uploaded Dec 1, 2023 cp39

fastdup-1.73-cp38-cp38-manylinux_2_31_x86_64.whl (75.2 MB view hashes)

Uploaded Dec 1, 2023 cp38

fastdup-1.73-cp37-cp37m-manylinux_2_31_x86_64.whl (75.2 MB view hashes)

Uploaded Dec 1, 2023 cp37

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Hashes for fastdup-1.73-cp38-cp38-manylinux_2_31_x86_64.whl

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Hashes for fastdup-1.73-cp37-cp37m-manylinux_2_31_x86_64.whl

Hashes for fastdup-1.73-cp37-cp37m-manylinux_2_31_x86_64.whl
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