Illicit Pills
The elements of this dataset correspond to segmentation masks of a subset of images from a large dataset available in https://www.ecstasydata.org/. The Illicit Pills dataset comprises 117 elements distributed in 5 classes which represent illicit amphetamine type stimulants (ATS) pills with distinct...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Dataset |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Carneiro, Allan |
| description | The elements of this dataset correspond to segmentation masks of a subset of images from a large dataset available in https://www.ecstasydata.org/. The Illicit Pills dataset comprises 117 elements distributed in 5 classes which represent illicit amphetamine type stimulants (ATS) pills with distinct shapes. |
| doi_str_mv | 10.17632/bmsz34n3dk.2 |
| format | Dataset |
| fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_17632_bmsz34n3dk_2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_17632_bmsz34n3dk_2</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_17632_bmsz34n3dk_23</originalsourceid><addsrcrecordid>eNpjYBA1NNAzNDczNtJPyi2uMjbJM07J1jPiZOD1zMnJTM4sUQjIzMkp5mFgTUvMKU7lhdLcDLpuriHOHropiSWJQFWp8QVFmbmJRZXxhgbxYOPiEcbFGxmTqh4A4c4tmQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Illicit Pills</title><source>DataCite</source><creator>Carneiro, Allan</creator><creatorcontrib>Carneiro, Allan</creatorcontrib><description>The elements of this dataset correspond to segmentation masks of a subset of images from a large dataset available in https://www.ecstasydata.org/. The Illicit Pills dataset comprises 117 elements distributed in 5 classes which represent illicit amphetamine type stimulants (ATS) pills with distinct shapes.</description><identifier>DOI: 10.17632/bmsz34n3dk.2</identifier><language>eng</language><publisher>Mendeley</publisher><subject>Health Sciences ; Shape Analysis</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1892</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/bmsz34n3dk.2$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Carneiro, Allan</creatorcontrib><title>Illicit Pills</title><description>The elements of this dataset correspond to segmentation masks of a subset of images from a large dataset available in https://www.ecstasydata.org/. The Illicit Pills dataset comprises 117 elements distributed in 5 classes which represent illicit amphetamine type stimulants (ATS) pills with distinct shapes.</description><subject>Health Sciences</subject><subject>Shape Analysis</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2019</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBA1NNAzNDczNtJPyi2uMjbJM07J1jPiZOD1zMnJTM4sUQjIzMkp5mFgTUvMKU7lhdLcDLpuriHOHropiSWJQFWp8QVFmbmJRZXxhgbxYOPiEcbFGxmTqh4A4c4tmQ</recordid><startdate>20190408</startdate><enddate>20190408</enddate><creator>Carneiro, Allan</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20190408</creationdate><title>Illicit Pills</title><author>Carneiro, Allan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_bmsz34n3dk_23</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Health Sciences</topic><topic>Shape Analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Carneiro, Allan</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Carneiro, Allan</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Illicit Pills</title><date>2019-04-08</date><risdate>2019</risdate><abstract>The elements of this dataset correspond to segmentation masks of a subset of images from a large dataset available in https://www.ecstasydata.org/. The Illicit Pills dataset comprises 117 elements distributed in 5 classes which represent illicit amphetamine type stimulants (ATS) pills with distinct shapes.</abstract><pub>Mendeley</pub><doi>10.17632/bmsz34n3dk.2</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.17632/bmsz34n3dk.2 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_datacite_primary_10_17632_bmsz34n3dk_2 |
| source | DataCite |
| subjects | Health Sciences Shape Analysis |
| title | Illicit Pills |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T10%3A40%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Carneiro,%20Allan&rft.date=2019-04-08&rft_id=info:doi/10.17632/bmsz34n3dk.2&rft_dat=%3Cdatacite_PQ8%3E10_17632_bmsz34n3dk_2%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |