Skip to main content

FiftyOne Brain

Project description

FiftyOne Brain

The proprietary brains behind FiftyOne.

DocsTry it NowTutorialsExamples

PyPI python PyPI version Slack Medium Twitter

fiftyone-brain.png

The FiftyOne Brain provides powerful machine learning techniques that are designed to transform how you curate your data from an art into a measurable science.

The FiftyOne Brain is a separate Python package that is bundled with FiftyOne. Although it is closed-source, it is licensed as freeware, and you have permission to use it for commercial or non-commercial purposes. See the license below for more details.

The FiftyOne Brain methods are useful across the stages of the machine learning workflow:

  • Uniqueness: During the training loop for a model, the best results will be seen when training on unique data. The FiftyOne Brain provides a uniqueness measure for images that compare the content of every image in a FiftyOne Dataset with all other images. Uniqueness operates on raw images and does not require any prior annotation on the data. It is hence very useful in the early stages of the machine learning workflow when you are likely asking "What data should I select to annotate?"

  • Mistakenness: Annotations mistakes create an artificial ceiling on the performance of your models. However, finding these mistakes by hand is at least as arduous as the original annotation was, especially in cases of larger datasets. The FiftyOne Brain provides a quantitative mistakenness measure to identify possible label mistakes. Mistakenness operates on labeled images and requires the logit-output of your model predictions in order to provide maximum efficacy. It also works on detection datasets to find missed objects, incorrect annotations, and localization issues.

  • Hardness: While a model is training, it will learn to understand attributes of certain samples faster than others. The FiftyOne Brain provides a hardness measure that calculates how easy or difficult it is for your model to understand any given sample. Mining hard samples is a tried and true measure of mature machine learning processes. Use your current model instance to compute predictions on unlabeled samples to determine which are the most valuable to have annotated and fed back into the system as training samples, for example.

License

Copyright 2021, Voxel51, Inc. All rights reserved.

FREEWARE LICENSE AND END-USER LICENSE AGREEMENT For the FiftyOne Brain

TL;DR

The functionality in the FiftyOne Brain software package is closed-source, freeware. You have permission to use it for most purposes: you may not attempt to decompile it or resell it, but the output of it can be used for commercial or non-commercial purposes. Voxel51, Inc. has no liability to the accuracy or veracity of the findings resulting from the use of the FiftyOne Brain.

NOTICE TO USER

Please read this carefully. By using all or any portion of the Software you accept all the terms and conditions of this Agreement. If you do not agree, do not use this Software.

  1. DEFINITIONS

When used in this Agreement, the following terms shall have the respective meanings indicated, such meanings to be applicable to both the singular and plural forms of the terms defined:

  • "Licensor" means Voxel51, Inc.

  • "Licensee" means You or Your Company, unless otherwise indicated.

  • "Software" means (a) all of the contents of the files with which this Agreement is provided, including but not limited to (i) registration information, i.e. License key which is unique for a registration name of the Licensee; (ii) related explanatory written materials or files ("Documentation"); (iii) Software files, configuration files, setup files and code samples (if any); (iv) Data files and model files; and (b) upgrades, modified versions, updates, additions, and copies of the Software, if any, licensed to you by Voxel51, Inc. (collectively, "Updates").

  • "Use" or "Using" means to access, install, download, copy or otherwise benefit from using the functionality of the Software in accordance with the Documentation.

  • "System" means Windows OS, GNU/Linux or Mac OS X, or any virtual machine.

  1. GENERAL USE

You are granted a non-exclusive License to Use the downloaded Software for any purposes for an unlimited period of time.

The software product under this License is provided free of charge. Even though a license fee is not paid for the use of such software, it does not mean that there are no conditions for using such software.

2.1. The Software may be installed and Used by the Licensee for any legal purpose in which the User has direct value from the use of and output of the Software.

2.2. The Software may be installed and Used by the Licensee on any number of systems. On each system, the software may be used by individuals and be used by one GPU card at any time.

2.3. The Software may not be resold as a service in any capacity.

2.4. The Software can be copied and distributed under the condition that original copyright notice and disclaimer of warranty will stay intact and the Licensee will not charge money or fees for the Software product, except to cover distribution costs.

2.6. The Licensee will not have any proprietary rights in and to the Software. The Licensee acknowledges and agrees that the Licensor retains all copyrights and other proprietary rights in and to the Software.

2.7 Use within the scope of this License is free of charge and no royalty or licensing fees shall be paid by the Licensee.

  1. INTELLECTUAL PROPERTY RIGHTS

3.1 This License does not transmit any intellectual rights on the Software. The Software and any copies that the Licensee is authorized by the Licensor to make are the intellectual property of and are owned by the Licensor.

3.2 The Software is protected by copyright, including without limitation by Copyright Law and international treaty provisions.

3.3 Any copies that the Licensee is permitted to make pursuant to this Agreement must contain the same copyright and other proprietary notices that appear on or in the Software.

3.4 The structure, organization and code of the Software are the valuable trade secrets and confidential information of the Licensor. The Licensee agrees not to decompile, disassemble or otherwise attempt to discover the source code of the Software.

3.5 Any attempts to reverse-engineer, copy, clone, modify or alter in any way the installer program without the Licensor’s specific approval are strictly prohibited. The Licensee is not authorized to use any plug-in or enhancement that permits to save modifications to a file with software licensed and distributed by the Licensor.

3.6 Trademarks shall be used in accordance with accepted trademark practice, including identification of trademarks owners’ names. Trademarks can only be used to identify printed output produced by the Software and such use of any trademark does not give the Licensee any rights of ownership in that trademark.

  1. WARRANTY

4.1 The Licensor warrants that:

4.1.1 The Licensor owns the Software and documentation and/or is in possession of valid and existing licenses that support the terms of this Agreement;

4.1.2 the Software conforms to specifications and functionality as specified in Documentation;

4.1.3 to the best of the Licensor’s knowledge, the Software does not infringe upon or violate any intellectual property right of any third party;

4.1.4 the Software does not contain any routine, intentionally designed by the Licensor to disable a computer program, or computer instructions that may alter, destroy or inhibit the processing environment.

4.2 Except those warranties specified in section 4.1 above, the Software is being delivered to the Licensee "AS IS" and the Licensor makes no warranty as to its use or performance.

The Licensor does not and cannot warrant the performance or results the Licensee may obtain by using the Software. The entire risk arising out of use or performance of the Software remains with the Licensee.

The Licensor gives no warranty, express or implied, that (i) the Software will be of satisfactory quality, suitable for any particular purpose or for any particular use under specified conditions, notwithstanding that such purpose, use, or conditions may be known to the Licensor; or (ii) that the Software will operate error free or without interruption or that any errors will be corrected.

  1. LIMITATION OF LIABILITY

In no event will the Licensor be liable for any damages, claims or costs whatsoever or any consequential, indirect, incidental damages, or any lost profits or lost savings, even if the Licensor has been advised of the possibility of such loss, damages, claims or costs or for any claim by any third party.

In no event will the Licensee be liable to the Licensor on condition that the Licensee complies with all terms and conditions stated in this License.

  1. NON-WAIVER

If a portion of this agreement is held unenforceable, the remainder shall be valid. It means that if one section of the Agreement is not lawful, the rest of the Agreement is still in force. A party’s failure to exercise any right under this Agreement will not constitute a waiver of (a) any other terms or conditions of this Agreement, or (b) a right at any time thereafter to require exact and strict compliance with the terms of this Agreement.

  1. ATTRIBUTION

Any screenshot of the output of the Software or result obtained from the Software that is used in reporting, marketing whether print or digital will acknowledge the use of FiftyOne by Voxel51.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

fiftyone_brain-0.7.0-cp39-cp39-win_amd64.whl (620.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

fiftyone_brain-0.7.0-cp39-cp39-manylinux1_x86_64.whl (637.5 kB view details)

Uploaded CPython 3.9

fiftyone_brain-0.7.0-cp39-cp39-macosx_11_0_arm64.whl (591.6 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

fiftyone_brain-0.7.0-cp39-cp39-macosx_10_11_x86_64.whl (699.4 kB view details)

Uploaded CPython 3.9 macOS 10.11+ x86-64

fiftyone_brain-0.7.0-cp38-cp38-win_amd64.whl (621.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

fiftyone_brain-0.7.0-cp38-cp38-manylinux1_x86_64.whl (638.1 kB view details)

Uploaded CPython 3.8

fiftyone_brain-0.7.0-cp38-cp38-macosx_11_0_arm64.whl (592.3 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

fiftyone_brain-0.7.0-cp38-cp38-macosx_10_11_x86_64.whl (699.6 kB view details)

Uploaded CPython 3.8 macOS 10.11+ x86-64

fiftyone_brain-0.7.0-cp37-cp37m-win_amd64.whl (614.4 kB view details)

Uploaded CPython 3.7m Windows x86-64

fiftyone_brain-0.7.0-cp37-cp37m-manylinux1_x86_64.whl (631.2 kB view details)

Uploaded CPython 3.7m

fiftyone_brain-0.7.0-cp37-cp37m-macosx_10_11_x86_64.whl (692.8 kB view details)

Uploaded CPython 3.7m macOS 10.11+ x86-64

fiftyone_brain-0.7.0-cp36-cp36m-win_amd64.whl (613.8 kB view details)

Uploaded CPython 3.6m Windows x86-64

fiftyone_brain-0.7.0-cp36-cp36m-manylinux1_x86_64.whl (630.9 kB view details)

Uploaded CPython 3.6m

fiftyone_brain-0.7.0-cp36-cp36m-macosx_10_11_x86_64.whl (692.1 kB view details)

Uploaded CPython 3.6m macOS 10.11+ x86-64

File details

Details for the file fiftyone_brain-0.7.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 620.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 68975ff4072b3b137abc75c9dd03e31ac359b1640a3dd5b96bb9f39877e73b74
MD5 fd9a132738b44dfce7e272a9564f7729
BLAKE2b-256 623f3a0a43f4cfe22bb04c9146825a12f48e72277af58dfcc8606be8f4e1a6b4

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp39-cp39-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 682.2 kB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a3b5a62dbedda67617093993a8314a036059865d6e324d13a283165106716ae8
MD5 b4690d82e5f694f3ff27fd861ffccf3d
BLAKE2b-256 d131a1aba6c639e5d2e1aff39650957743666a99079e656a76c1c479a416fbc3

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp39-cp39-manylinux1_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp39-cp39-manylinux1_x86_64.whl
  • Upload date:
  • Size: 637.5 kB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp39-cp39-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d9d16563004caa7a496e1bc1e576b05a9766804dc1b03a61eb99c34de90471d1
MD5 4b6857f1996536d9dca742a4d7ffa533
BLAKE2b-256 8a2efd4127b5d0db546e050b29cc52bcdd8eb0f0cc0f3c8475c1696d36909dbd

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 591.6 kB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 77ff3cc56b4d94856ce7e0b640772cfacb9c85744861bd3d7ca14e7ee22aa3d5
MD5 00d35a4128b7db9f857fbf168d6d1a62
BLAKE2b-256 40f69e0bd3b852ac8ac597c82b5251daa62064a8d9d75fc79e1d5a1e95fcecb2

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp39-cp39-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp39-cp39-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 699.4 kB
  • Tags: CPython 3.9, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp39-cp39-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 3317e788b34fbf111ea91c4aef22eea698048f89d86e956ab762e98d4c7df87a
MD5 4d95f69bf0924e15f98cbcea41963bd7
BLAKE2b-256 0d2c533c478f25644f6f4241ce7ddac956bf774cf5e4f5c6802fed9b22732c22

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 621.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8bc2e7bdcf4cf50476ea90aab6f77ad04fa7fe1874cfe0904161af708e3061b7
MD5 54b96293a80830233ea7675c06cd3154
BLAKE2b-256 33b922b592be10402ee305a4ae61cadae426b3cef4b987e0f1b0299ef7a36db7

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp38-cp38-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 682.3 kB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5fefb75689427666e35fa25717392cdfcf87538f835c0a4b05c29151d9266f33
MD5 b988821384caf5dba36172c1d4f99fde
BLAKE2b-256 90e50d62412b0e6a490e1736d60ead76c438f9a76b7839e54f54c73420fd6dd2

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 638.1 kB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 06dbe3a6f436dc4a06e084d47e715fdacc5745eb08c5838e5f318a86d3774c03
MD5 2ba5abeac8f22cf3af34630ce5e6f386
BLAKE2b-256 cfdc2073d80b8dc06bb4fa671ec3f7f52140f742790af0d7c65f78a17d22fb3a

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 592.3 kB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 68a1cc0af39c403edd99d719b143baed54d9558bc9a747c18ffd8aa3f5ab262a
MD5 77ac4fca638a12ab563dc0ae97bbc9f5
BLAKE2b-256 06e7c60271cefc5c004f0e3118752918906f9da2845da2a1ed8594c2acbb6d78

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp38-cp38-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp38-cp38-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 699.6 kB
  • Tags: CPython 3.8, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp38-cp38-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 6ac9d6ce81e1488accefdd9d8f3cef6693d85c4b16f512d3abb6a880693a5598
MD5 89d29b318f87705816ce67567228f358
BLAKE2b-256 98e77796c6deae0eb50ff79af1a3bff9d3682e0ca9639b7c122ed4ed1d32a739

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 614.4 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bd92ee81840dfbb25c6145632ec4350dc0c97d7eb902f864554380b0c504b733
MD5 9fc6945bcc40787eb7ab55b2cefe2e85
BLAKE2b-256 aebcb14f1358874192f7980f527c52f2ebda1534754125d5994b7f05f8c75d44

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp37-cp37m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp37-cp37m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 675.6 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp37-cp37m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2a2e86d43f5a5523355ebdfaf800136a20650ca1a88ed358b4de398046feace1
MD5 761b1b3a4729ea35bf6d9f15fe12bfcb
BLAKE2b-256 0159bf75fe094195b00f7da680813006e780933bb2bae60a0a4f95e91290399a

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 631.2 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7b1670fdcaef19c8f3877ed7cedeed1bea36fa864dcbfc2794793321a757f4a6
MD5 0e81bcf7637d8dc084a76f20fd6f3f99
BLAKE2b-256 b2aa6a0d4a9d63f0f69c428ce86f5b0f2d9f0ddba6f73e7b7c88ee8b1e0ccc7d

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp37-cp37m-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp37-cp37m-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 692.8 kB
  • Tags: CPython 3.7m, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp37-cp37m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 790687636819eb3317bb510b1bbcd9eceadca0911fe51edde62d16022f5aa70d
MD5 8bfbade71c0b2689374a437e20dff81b
BLAKE2b-256 04dcc26822c582de7628a150c2850d29872c12900fc9bc5d9fbf6ad961495fd1

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 613.8 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c9948eb2149d6e3a3b8179d0cb44bd2a57dde40d4b2e53942233030eb893aed0
MD5 c8b284baff323ba194d66ebe243b2c2e
BLAKE2b-256 530b3092d310e108758b3d0cc00227d01d34fcf6d146667202381cb271161b58

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp36-cp36m-manylinux2014_aarch64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp36-cp36m-manylinux2014_aarch64.whl
  • Upload date:
  • Size: 675.0 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp36-cp36m-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 46cad4f8124c8c2285369f2fcacb5c7c7a5d1e0ca57e19f08e66fe2fa319fa35
MD5 011dbcb33f774659c39424cd3660d6b3
BLAKE2b-256 f5b835760a8f375990f7f6f1a4593d6c727282404f075eae81510a4ceabc5ef2

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 630.9 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 819712a177dc59677d30eb3829969d2d8f1816b6861dcd0e469acad1ffff1105
MD5 30a00bc3b4fbe46babd09743d1a0a79d
BLAKE2b-256 d072f18836d60b16f3372c3f38f82707d538623692fb54a69ea99e4e01a559d4

See more details on using hashes here.

File details

Details for the file fiftyone_brain-0.7.0-cp36-cp36m-macosx_10_11_x86_64.whl.

File metadata

  • Download URL: fiftyone_brain-0.7.0-cp36-cp36m-macosx_10_11_x86_64.whl
  • Upload date:
  • Size: 692.1 kB
  • Tags: CPython 3.6m, macOS 10.11+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.2 CPython/3.8.10

File hashes

Hashes for fiftyone_brain-0.7.0-cp36-cp36m-macosx_10_11_x86_64.whl
Algorithm Hash digest
SHA256 a65c2477b9a5dcd0c76a57dfce92ee7ba742e9ad1a296207aec597e302f4ecbd
MD5 1bf87c04842771626f409d569a0811dd
BLAKE2b-256 e82419ea5a58781dcc51b7a5708fdb0080dfd30d2933148c38738f8ba089d4ec

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page