Changes
On December 2, 2024 at 5:39:39 PM UTC,
admin:
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Changed title to ImageNet-1k (previously ImageNet-1K)
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Set author of ImageNet-1k to Sameer Ambekar (previously Tan Yu)
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Updated description of ImageNet-1k from
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used small-scale image recognition datasets such as Mini-ImageNet, CIFAR-10, CIFAR-100, and Fashion-MNIST.
toThe dataset used in the paper is not explicitly described, but it is mentioned that the authors used it for language modeling and image classification tasks.
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Removed the following tags from ImageNet-1k
- Dataset
- deep learning
- Object detection
- segmentation
- Vision Transformer
- Video Classification
- Large-scale Image Classification
- Instance segmentation
- Large-Scale Dataset
- ImageNet-1K
- Large-scale image dataset
- object detection
- Scale Invariant
- Natural Language Processing
- Semantic segmentation
- Large Scale Dataset
- Vision Transformers
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Added the following tags to ImageNet-1k
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Changed value of field
defined_in
tohttps://doi.org/10.48550/arXiv.2403.15059
in ImageNet-1k -
Changed value of field
extra_authors
to[{'extra_author': 'Matteo Tafuro', 'orcid': ''}, {'extra_author': 'Diego van der Mast', 'orcid': ''}, {'extra_author': 'Mark Alence', 'orcid': ''}, {'extra_author': 'Ankit Ankit', 'orcid': ''}, {'extra_author': 'Christos Athanasiadis', 'orcid': ''}]
in ImageNet-1k -
Changed value of field
citation
to['https://doi.org/10.48550/arXiv.2109.15099', 'https://doi.org/10.48550/arXiv.2305.12906', 'https://doi.org/10.48550/arXiv.1904.12222', 'https://doi.org/10.48550/arXiv.2205.10660', 'https://doi.org/10.48550/arXiv.2303.04766', 'https://doi.org/10.1145/3581783.3612260', 'https://doi.org/10.48550/arXiv.2010.02508', 'https://doi.org/10.48550/arXiv.2103.15670', 'https://doi.org/10.48550/arXiv.2109.03810', 'https://doi.org/10.48550/arXiv.2106.02253']
in ImageNet-1k -
Deleted resource Original Metadata from ImageNet-1k
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| n | 3 | "author": "Tan Yu", | n | 3 | "author": "Sameer Ambekar", |
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| n | 6 | "https://doi.org/10.48550/arXiv.2407.12217", | n | ||
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| 8 | "https://doi.org/10.48550/arXiv.2406.05850", | ||||
| 9 | "https://doi.org/10.48550/arXiv.2308.08884", | ||||
| 10 | "https://doi.org/10.48550/arXiv.2305.17644", | 7 | "https://doi.org/10.48550/arXiv.2305.12906", | ||
| 11 | "https://doi.org/10.48550/arXiv.2311.05988", | ||||
| 12 | "https://doi.org/10.48550/arXiv.1802.02326", | 8 | "https://doi.org/10.48550/arXiv.1904.12222", | ||
| 13 | "https://doi.org/10.48550/arXiv.2206.14502", | ||||
| 14 | "https://doi.org/10.48550/arXiv.2201.12903", | ||||
| 15 | "https://doi.org/10.48550/arXiv.2311.07623", | ||||
| 16 | "https://doi.org/10.48550/arXiv.2309.03004", | ||||
| 17 | "https://doi.org/10.48550/arXiv.2201.06618", | 9 | "https://doi.org/10.48550/arXiv.2205.10660", | ||
| 18 | "https://doi.org/10.48550/arXiv.2404.08958", | ||||
| 19 | "https://doi.org/10.48550/arXiv.2312.01987", | ||||
| 20 | "https://doi.org/10.48550/arXiv.2311.05707", | ||||
| 21 | "https://doi.org/10.48550/arXiv.2206.07706", | 10 | "https://doi.org/10.48550/arXiv.2303.04766", | ||
| 11 | "https://doi.org/10.1145/3581783.3612260", | ||||
| 12 | "https://doi.org/10.48550/arXiv.2010.02508", | ||||
| 22 | "https://doi.org/10.48550/arXiv.2202.06709", | 13 | "https://doi.org/10.48550/arXiv.2103.15670", | ||
| 23 | "https://doi.org/10.48550/arXiv.2405.18240", | 14 | "https://doi.org/10.48550/arXiv.2109.03810", | ||
| 24 | "https://doi.org/10.48550/arXiv.2002.06619", | ||||
| 25 | "https://doi.org/10.48550/arXiv.2407.18559" | 15 | "https://doi.org/10.48550/arXiv.2106.02253" | ||
| 26 | ], | 16 | ], | ||
| 27 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 17 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| n | 28 | "defined_in": "https://doi.org/10.48550/arXiv.2209.07735", | n | 18 | "defined_in": "https://doi.org/10.48550/arXiv.2403.15059", |
| 29 | "doi": "10.57702/6zjyphsv", | 19 | "doi": "10.57702/6zjyphsv", | ||
| 30 | "doi_date_published": "2024-11-25", | 20 | "doi_date_published": "2024-11-25", | ||
| 31 | "doi_publisher": "TIB", | 21 | "doi_publisher": "TIB", | ||
| 32 | "doi_status": true, | 22 | "doi_status": true, | ||
| 33 | "domain": "https://service.tib.eu/ldmservice", | 23 | "domain": "https://service.tib.eu/ldmservice", | ||
| 34 | "extra_authors": [ | 24 | "extra_authors": [ | ||
| 35 | { | 25 | { | ||
| n | 36 | "extra_author": "Xu Li", | n | 26 | "extra_author": "Matteo Tafuro", |
| 37 | "orcid": "" | 27 | "orcid": "" | ||
| 38 | }, | 28 | }, | ||
| 39 | { | 29 | { | ||
| n | n | 30 | "extra_author": "Diego van der Mast", | ||
| 31 | "orcid": "" | ||||
| 32 | }, | ||||
| 33 | { | ||||
| 40 | "extra_author": "Yunfeng Cai", | 34 | "extra_author": "Mark Alence", | ||
| 41 | "orcid": "" | 35 | "orcid": "" | ||
| 42 | }, | 36 | }, | ||
| 43 | { | 37 | { | ||
| n | 44 | "extra_author": "Mingming Sun", | n | ||
| 45 | "orcid": "" | ||||
| 46 | }, | ||||
| 47 | { | ||||
| 48 | "extra_author": "Ping Li", | 38 | "extra_author": "Ankit Ankit", | ||
| 39 | "orcid": "" | ||||
| 40 | }, | ||||
| 41 | { | ||||
| 42 | "extra_author": "Christos Athanasiadis", | ||||
| 49 | "orcid": "" | 43 | "orcid": "" | ||
| 50 | } | 44 | } | ||
| 51 | ], | 45 | ], | ||
| 52 | "groups": [ | 46 | "groups": [ | ||
| n | 53 | { | n | ||
| 54 | "description": "", | ||||
| 55 | "display_name": "Computer Vision", | ||||
| 56 | "id": "d09caf7c-26c7-4e4d-bb8e-49476a90ba25", | ||||
| 57 | "image_display_url": "", | ||||
| 58 | "name": "computer-vision", | ||||
| 59 | "title": "Computer Vision" | ||||
| 60 | }, | ||||
| 61 | { | 47 | { | ||
| 62 | "description": "", | 48 | "description": "", | ||
| 63 | "display_name": "Image Classification", | 49 | "display_name": "Image Classification", | ||
| 64 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | 50 | "id": "18b77292-26aa-4caf-89ed-cbd35fa60474", | ||
| 65 | "image_display_url": "", | 51 | "image_display_url": "", | ||
| 66 | "name": "image-classification", | 52 | "name": "image-classification", | ||
| 67 | "title": "Image Classification" | 53 | "title": "Image Classification" | ||
| 68 | }, | 54 | }, | ||
| 69 | { | 55 | { | ||
| 70 | "description": "", | 56 | "description": "", | ||
| n | 71 | "display_name": "Natural Language Processing", | n | 57 | "display_name": "Image Retrieval", |
| 72 | "id": "5b974bcc-8f79-40fc-a05d-75b861d55ed0", | 58 | "id": "e9e05338-d06d-4467-abf9-ba0f67f4e096", | ||
| 73 | "image_display_url": "", | 59 | "image_display_url": "", | ||
| n | 74 | "name": "natural-language-processing", | n | 60 | "name": "image-retrieval", |
| 75 | "title": "Natural Language Processing" | 61 | "title": "Image Retrieval" | ||
| 76 | }, | 62 | }, | ||
| 77 | { | 63 | { | ||
| 78 | "description": "", | 64 | "description": "", | ||
| 79 | "display_name": "Object Detection", | 65 | "display_name": "Object Detection", | ||
| 80 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | 66 | "id": "ca2cb1af-d31c-49b0-a1dd-62b22f2b9e20", | ||
| 81 | "image_display_url": "", | 67 | "image_display_url": "", | ||
| 82 | "name": "object-detection", | 68 | "name": "object-detection", | ||
| 83 | "title": "Object Detection" | 69 | "title": "Object Detection" | ||
| 84 | }, | 70 | }, | ||
| 85 | { | 71 | { | ||
| 86 | "description": "", | 72 | "description": "", | ||
| n | n | 73 | "display_name": "Object Localization", | ||
| 74 | "id": "2d24f946-74d4-41b5-a2e1-89863a6b427a", | ||||
| 75 | "image_display_url": "", | ||||
| 76 | "name": "object-localization", | ||||
| 77 | "title": "Object Localization" | ||||
| 78 | }, | ||||
| 79 | { | ||||
| 80 | "description": "", | ||||
| 81 | "display_name": "Object Recognition", | ||||
| 82 | "id": "1b471529-d821-46c3-8ac0-1ec99f0c80bc", | ||||
| 83 | "image_display_url": "", | ||||
| 84 | "name": "object-recognition", | ||||
| 85 | "title": "Object Recognition" | ||||
| 86 | }, | ||||
| 87 | { | ||||
| 88 | "description": "", | ||||
| 87 | "display_name": "Semantic Segmentation", | 89 | "display_name": "Semantic Segmentation", | ||
| 88 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | 90 | "id": "8c3f2eee-f5f9-464d-9c0a-1a5e7a925c0e", | ||
| 89 | "image_display_url": "", | 91 | "image_display_url": "", | ||
| 90 | "name": "semantic-segmentation", | 92 | "name": "semantic-segmentation", | ||
| 91 | "title": "Semantic Segmentation" | 93 | "title": "Semantic Segmentation" | ||
| n | 92 | }, | n | ||
| 93 | { | ||||
| 94 | "description": "", | ||||
| 95 | "display_name": "Video Classification", | ||||
| 96 | "id": "1b6daec6-75b6-4254-b646-3df8c5ba3b6c", | ||||
| 97 | "image_display_url": "", | ||||
| 98 | "name": "video-classification", | ||||
| 99 | "title": "Video Classification" | ||||
| 100 | } | 94 | } | ||
| 101 | ], | 95 | ], | ||
| 102 | "id": "67eae49e-386c-439e-8272-4a847cfff8b7", | 96 | "id": "67eae49e-386c-439e-8272-4a847cfff8b7", | ||
| 103 | "isopen": false, | 97 | "isopen": false, | ||
| 104 | "landing_page": "https://www.image-net.org/", | 98 | "landing_page": "https://www.image-net.org/", | ||
| 105 | "license_title": null, | 99 | "license_title": null, | ||
| 106 | "link_orkg": "", | 100 | "link_orkg": "", | ||
| 107 | "metadata_created": "2024-11-25T14:52:17.844637", | 101 | "metadata_created": "2024-11-25T14:52:17.844637", | ||
| n | 108 | "metadata_modified": "2024-12-02T17:39:14.907463", | n | 102 | "metadata_modified": "2024-12-02T17:39:38.324329", |
| 109 | "name": "imagenet-1k", | 103 | "name": "imagenet-1k", | ||
| 110 | "notes": "The dataset used in the paper is not explicitly described, | 104 | "notes": "The dataset used in the paper is not explicitly described, | ||
| n | 111 | but it is mentioned that the authors used small-scale image | n | 105 | but it is mentioned that the authors used it for language modeling and |
| 112 | recognition datasets such as Mini-ImageNet, CIFAR-10, CIFAR-100, and | 106 | image classification tasks.", | ||
| 113 | Fashion-MNIST.", | ||||
| 114 | "num_resources": 1, | 107 | "num_resources": 0, | ||
| 115 | "num_tags": 30, | 108 | "num_tags": 22, | ||
| 116 | "organization": { | 109 | "organization": { | ||
| 117 | "approval_status": "approved", | 110 | "approval_status": "approved", | ||
| 118 | "created": "2024-11-25T12:11:38.292601", | 111 | "created": "2024-11-25T12:11:38.292601", | ||
| 119 | "description": "", | 112 | "description": "", | ||
| 120 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 113 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 121 | "image_url": "", | 114 | "image_url": "", | ||
| 122 | "is_organization": true, | 115 | "is_organization": true, | ||
| 123 | "name": "no-organization", | 116 | "name": "no-organization", | ||
| 124 | "state": "active", | 117 | "state": "active", | ||
| 125 | "title": "No Organization", | 118 | "title": "No Organization", | ||
| 126 | "type": "organization" | 119 | "type": "organization" | ||
| 127 | }, | 120 | }, | ||
| 128 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 121 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 129 | "private": false, | 122 | "private": false, | ||
| 130 | "relationships_as_object": [], | 123 | "relationships_as_object": [], | ||
| 131 | "relationships_as_subject": [], | 124 | "relationships_as_subject": [], | ||
| n | 132 | "resources": [ | n | 125 | "resources": [], |
| 133 | { | ||||
| 134 | "cache_last_updated": null, | ||||
| 135 | "cache_url": null, | ||||
| 136 | "created": "2024-12-02T18:38:42", | ||||
| 137 | "data": [ | ||||
| 138 | "dcterms:title", | ||||
| 139 | "dcterms:accessRights", | ||||
| 140 | "dcterms:creator", | ||||
| 141 | "dcterms:description", | ||||
| 142 | "dcterms:issued", | ||||
| 143 | "dcterms:language", | ||||
| 144 | "dcterms:identifier", | ||||
| 145 | "dcat:theme", | ||||
| 146 | "dcterms:type", | ||||
| 147 | "dcat:keyword", | ||||
| 148 | "dcat:landingPage", | ||||
| 149 | "dcterms:hasVersion", | ||||
| 150 | "dcterms:format", | ||||
| 151 | "mls:task", | ||||
| 152 | "datacite:isDescribedBy" | ||||
| 153 | ], | ||||
| 154 | "description": "The json representation of the dataset with its | ||||
| 155 | distributions based on DCAT.", | ||||
| 156 | "format": "JSON", | ||||
| 157 | "hash": "", | ||||
| 158 | "id": "36cf9a6a-d761-4093-95d9-37d6610f2a8b", | ||||
| 159 | "last_modified": "2024-12-02T17:39:14.896230", | ||||
| 160 | "metadata_modified": "2024-12-02T17:39:14.910772", | ||||
| 161 | "mimetype": "application/json", | ||||
| 162 | "mimetype_inner": null, | ||||
| 163 | "name": "Original Metadata", | ||||
| 164 | "package_id": "67eae49e-386c-439e-8272-4a847cfff8b7", | ||||
| 165 | "position": 0, | ||||
| 166 | "resource_type": null, | ||||
| 167 | "size": 2367, | ||||
| 168 | "state": "active", | ||||
| 169 | "url": | ||||
| 170 | resource/36cf9a6a-d761-4093-95d9-37d6610f2a8b/download/metadata.json", | ||||
| 171 | "url_type": "upload" | ||||
| 172 | } | ||||
| 173 | ], | ||||
| 174 | "services_used_list": "", | 126 | "services_used_list": "", | ||
| 175 | "state": "active", | 127 | "state": "active", | ||
| 176 | "tags": [ | 128 | "tags": [ | ||
| 177 | { | 129 | { | ||
| 178 | "display_name": "Classification", | 130 | "display_name": "Classification", | ||
| 179 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | 131 | "id": "cc82e2f5-be18-4e27-9bd8-0cb307b8a455", | ||
| 180 | "name": "Classification", | 132 | "name": "Classification", | ||
| 181 | "state": "active", | 133 | "state": "active", | ||
| 182 | "vocabulary_id": null | 134 | "vocabulary_id": null | ||
| 183 | }, | 135 | }, | ||
| 184 | { | 136 | { | ||
| 185 | "display_name": "Computer Vision", | 137 | "display_name": "Computer Vision", | ||
| 186 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | 138 | "id": "77b96eda-8a43-406f-9c54-d87b14f3f63e", | ||
| 187 | "name": "Computer Vision", | 139 | "name": "Computer Vision", | ||
| 188 | "state": "active", | 140 | "state": "active", | ||
| 189 | "vocabulary_id": null | 141 | "vocabulary_id": null | ||
| 190 | }, | 142 | }, | ||
| 191 | { | 143 | { | ||
| n | 192 | "display_name": "Dataset", | n | 144 | "display_name": "Counterfactual Generative Networks", |
| 193 | "id": "81587eb2-9569-4a4b-83c8-0e2ac78e7e3b", | 145 | "id": "5dab0984-eaa9-4ec6-8c35-814d152a67de", | ||
| 194 | "name": "Dataset", | 146 | "name": "Counterfactual Generative Networks", | ||
| 195 | "state": "active", | 147 | "state": "active", | ||
| 196 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
| 197 | }, | 149 | }, | ||
| 198 | { | 150 | { | ||
| 199 | "display_name": "Detection", | 151 | "display_name": "Detection", | ||
| 200 | "id": "0a1e40c9-2571-474a-ae08-794f6233e3a4", | 152 | "id": "0a1e40c9-2571-474a-ae08-794f6233e3a4", | ||
| 201 | "name": "Detection", | 153 | "name": "Detection", | ||
| 202 | "state": "active", | 154 | "state": "active", | ||
| 203 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
| 204 | }, | 156 | }, | ||
| 205 | { | 157 | { | ||
| n | n | 158 | "display_name": "Gallery Set", | ||
| 159 | "id": "2f23b312-55b4-4b49-870c-be95b785d0dd", | ||||
| 160 | "name": "Gallery Set", | ||||
| 161 | "state": "active", | ||||
| 162 | "vocabulary_id": null | ||||
| 163 | }, | ||||
| 164 | { | ||||
| 206 | "display_name": "Hierarchical Image Database", | 165 | "display_name": "Hierarchical Image Database", | ||
| 207 | "id": "0d24e4df-17a2-492e-95ec-58c0108a5969", | 166 | "id": "0d24e4df-17a2-492e-95ec-58c0108a5969", | ||
| 208 | "name": "Hierarchical Image Database", | 167 | "name": "Hierarchical Image Database", | ||
| 209 | "state": "active", | 168 | "state": "active", | ||
| 210 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
| 211 | }, | 170 | }, | ||
| 212 | { | 171 | { | ||
| 213 | "display_name": "Image Classification", | 172 | "display_name": "Image Classification", | ||
| 214 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | 173 | "id": "418e2ddf-a1d3-42ac-ad05-156f79ca8e22", | ||
| 215 | "name": "Image Classification", | 174 | "name": "Image Classification", | ||
| 216 | "state": "active", | 175 | "state": "active", | ||
| 217 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
| 218 | }, | 177 | }, | ||
| 219 | { | 178 | { | ||
| n | n | 179 | "display_name": "Image Retrieval", | ||
| 180 | "id": "4b81e5bb-1f8f-415b-a688-0e2d94b6d499", | ||||
| 181 | "name": "Image Retrieval", | ||||
| 182 | "state": "active", | ||||
| 183 | "vocabulary_id": null | ||||
| 184 | }, | ||||
| 185 | { | ||||
| 220 | "display_name": "Image classification", | 186 | "display_name": "Image classification", | ||
| 221 | "id": "786db19f-59bd-48ee-96c8-dfff6df61746", | 187 | "id": "786db19f-59bd-48ee-96c8-dfff6df61746", | ||
| 222 | "name": "Image classification", | 188 | "name": "Image classification", | ||
| 223 | "state": "active", | 189 | "state": "active", | ||
| 224 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
| 225 | }, | 191 | }, | ||
| 226 | { | 192 | { | ||
| 227 | "display_name": "ImageNet", | 193 | "display_name": "ImageNet", | ||
| 228 | "id": "114653a3-d688-42fb-8e76-350752af988b", | 194 | "id": "114653a3-d688-42fb-8e76-350752af988b", | ||
| 229 | "name": "ImageNet", | 195 | "name": "ImageNet", | ||
| 230 | "state": "active", | 196 | "state": "active", | ||
| 231 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
| 232 | }, | 198 | }, | ||
| 233 | { | 199 | { | ||
| n | 234 | "display_name": "ImageNet-1K", | n | 200 | "display_name": "ImageNet-1k", |
| 235 | "id": "42f9570d-dd1c-42e9-b334-e01f425413eb", | 201 | "id": "599700a6-6eaf-4199-98f6-1121b58d35b8", | ||
| 236 | "name": "ImageNet-1K", | 202 | "name": "ImageNet-1k", | ||
| 237 | "state": "active", | ||||
| 238 | "vocabulary_id": null | ||||
| 239 | }, | ||||
| 240 | { | ||||
| 241 | "display_name": "Instance segmentation", | ||||
| 242 | "id": "b65062d0-b494-4174-a2be-d7d16f30c26b", | ||||
| 243 | "name": "Instance segmentation", | ||||
| 244 | "state": "active", | 203 | "state": "active", | ||
| 245 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
| 246 | }, | 205 | }, | ||
| 247 | { | 206 | { | ||
| 248 | "display_name": "Large Scale", | 207 | "display_name": "Large Scale", | ||
| 249 | "id": "9d0a7af8-406e-4d7d-b558-ac2b45093bbf", | 208 | "id": "9d0a7af8-406e-4d7d-b558-ac2b45093bbf", | ||
| 250 | "name": "Large Scale", | 209 | "name": "Large Scale", | ||
| 251 | "state": "active", | 210 | "state": "active", | ||
| 252 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
| 253 | }, | 212 | }, | ||
| 254 | { | 213 | { | ||
| n | 255 | "display_name": "Large Scale Dataset", | n | ||
| 256 | "id": "feb463dc-37cd-4b00-a5ee-dde0ed3804bf", | ||||
| 257 | "name": "Large Scale Dataset", | ||||
| 258 | "state": "active", | ||||
| 259 | "vocabulary_id": null | ||||
| 260 | }, | ||||
| 261 | { | ||||
| 262 | "display_name": "Large-Scale Dataset", | 214 | "display_name": "Large-scale Image Database", | ||
| 263 | "id": "f3f5ec8d-52e3-4bcf-84ee-2dbca89fc84a", | 215 | "id": "6a3689c6-aee6-47ed-a723-98f0f3d19f99", | ||
| 264 | "name": "Large-Scale Dataset", | 216 | "name": "Large-scale Image Database", | ||
| 265 | "state": "active", | ||||
| 266 | "vocabulary_id": null | ||||
| 267 | }, | ||||
| 268 | { | ||||
| 269 | "display_name": "Large-scale Image Classification", | ||||
| 270 | "id": "1068fe13-1f56-47b4-85d1-ae109adf339e", | ||||
| 271 | "name": "Large-scale Image Classification", | ||||
| 272 | "state": "active", | 217 | "state": "active", | ||
| 273 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
| 274 | }, | 219 | }, | ||
| 275 | { | 220 | { | ||
| 276 | "display_name": "Large-scale dataset", | 221 | "display_name": "Large-scale dataset", | ||
| 277 | "id": "868f7828-1cf2-4bed-ba67-61c621bf1aa5", | 222 | "id": "868f7828-1cf2-4bed-ba67-61c621bf1aa5", | ||
| 278 | "name": "Large-scale dataset", | 223 | "name": "Large-scale dataset", | ||
| 279 | "state": "active", | 224 | "state": "active", | ||
| 280 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
| 281 | }, | 226 | }, | ||
| 282 | { | 227 | { | ||
| n | 283 | "display_name": "Large-scale image dataset", | n | 228 | "display_name": "Object Classification", |
| 284 | "id": "9695e871-693b-4849-8eb7-4426ede6bc19", | 229 | "id": "b04e5bd7-f108-4123-8c16-68c67ae2fe31", | ||
| 285 | "name": "Large-scale image dataset", | 230 | "name": "Object Classification", | ||
| 286 | "state": "active", | ||||
| 287 | "vocabulary_id": null | ||||
| 288 | }, | ||||
| 289 | { | ||||
| 290 | "display_name": "Natural Language Processing", | ||||
| 291 | "id": "035ca6e6-7473-43c7-82b3-cb1c2b4131fe", | ||||
| 292 | "name": "Natural Language Processing", | ||||
| 293 | "state": "active", | 231 | "state": "active", | ||
| 294 | "vocabulary_id": null | 232 | "vocabulary_id": null | ||
| 295 | }, | 233 | }, | ||
| 296 | { | 234 | { | ||
| 297 | "display_name": "Object Detection", | 235 | "display_name": "Object Detection", | ||
| 298 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | 236 | "id": "44adc011-570b-46cf-9a65-ab72ca690477", | ||
| 299 | "name": "Object Detection", | 237 | "name": "Object Detection", | ||
| 300 | "state": "active", | 238 | "state": "active", | ||
| 301 | "vocabulary_id": null | 239 | "vocabulary_id": null | ||
| 302 | }, | 240 | }, | ||
| 303 | { | 241 | { | ||
| n | n | 242 | "display_name": "Object Localization", | ||
| 243 | "id": "fc7bcf80-bd5d-41b9-afa9-5c980ce39a1c", | ||||
| 244 | "name": "Object Localization", | ||||
| 245 | "state": "active", | ||||
| 246 | "vocabulary_id": null | ||||
| 247 | }, | ||||
| 248 | { | ||||
| 304 | "display_name": "Object detection", | 249 | "display_name": "Object Recognition", | ||
| 305 | "id": "84a57b7d-e522-4fc2-9f65-9aeb121659f1", | 250 | "id": "6a4e0b0a-637f-41ee-a647-8af2e035b203", | ||
| 306 | "name": "Object detection", | 251 | "name": "Object Recognition", | ||
| 307 | "state": "active", | 252 | "state": "active", | ||
| 308 | "vocabulary_id": null | 253 | "vocabulary_id": null | ||
| 309 | }, | 254 | }, | ||
| 310 | { | 255 | { | ||
| n | 311 | "display_name": "Scale Invariant", | n | 256 | "display_name": "Query Images", |
| 312 | "id": "8a7e3885-ebbc-41f5-879a-45c977ecc4e7", | 257 | "id": "71da4e7b-afd4-4355-91cb-00aeafe0c5e8", | ||
| 313 | "name": "Scale Invariant", | 258 | "name": "Query Images", | ||
| 314 | "state": "active", | 259 | "state": "active", | ||
| 315 | "vocabulary_id": null | 260 | "vocabulary_id": null | ||
| 316 | }, | 261 | }, | ||
| 317 | { | 262 | { | ||
| 318 | "display_name": "Segmentation", | 263 | "display_name": "Segmentation", | ||
| 319 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | 264 | "id": "afba543e-f91f-4800-834e-77535c9e8dac", | ||
| 320 | "name": "Segmentation", | 265 | "name": "Segmentation", | ||
| 321 | "state": "active", | 266 | "state": "active", | ||
| 322 | "vocabulary_id": null | 267 | "vocabulary_id": null | ||
| 323 | }, | 268 | }, | ||
| 324 | { | 269 | { | ||
| n | 325 | "display_name": "Semantic segmentation", | n | ||
| 326 | "id": "ca545ae5-2da2-4e71-98b7-3268890347d1", | ||||
| 327 | "name": "Semantic segmentation", | ||||
| 328 | "state": "active", | ||||
| 329 | "vocabulary_id": null | ||||
| 330 | }, | ||||
| 331 | { | ||||
| 332 | "display_name": "Video Classification", | ||||
| 333 | "id": "0efdf60d-08ed-43fd-b284-3ae2e6890178", | ||||
| 334 | "name": "Video Classification", | ||||
| 335 | "state": "active", | ||||
| 336 | "vocabulary_id": null | ||||
| 337 | }, | ||||
| 338 | { | ||||
| 339 | "display_name": "Vision Transformer", | ||||
| 340 | "id": "7d1dddfb-e319-4d4e-ab84-bd7867b67bc4", | ||||
| 341 | "name": "Vision Transformer", | ||||
| 342 | "state": "active", | ||||
| 343 | "vocabulary_id": null | ||||
| 344 | }, | ||||
| 345 | { | ||||
| 346 | "display_name": "Vision Transformers", | ||||
| 347 | "id": "53a1aaac-eb0f-41e2-a6f1-1461b453add1", | ||||
| 348 | "name": "Vision Transformers", | ||||
| 349 | "state": "active", | ||||
| 350 | "vocabulary_id": null | ||||
| 351 | }, | ||||
| 352 | { | ||||
| 353 | "display_name": "deep learning", | ||||
| 354 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||||
| 355 | "name": "deep learning", | ||||
| 356 | "state": "active", | ||||
| 357 | "vocabulary_id": null | ||||
| 358 | }, | ||||
| 359 | { | ||||
| 360 | "display_name": "image classification", | 270 | "display_name": "image classification", | ||
| 361 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | 271 | "id": "34936550-ce1a-41b5-8c58-23081a6c673d", | ||
| 362 | "name": "image classification", | 272 | "name": "image classification", | ||
| 363 | "state": "active", | 273 | "state": "active", | ||
| 364 | "vocabulary_id": null | 274 | "vocabulary_id": null | ||
| 365 | }, | 275 | }, | ||
| 366 | { | 276 | { | ||
| 367 | "display_name": "large-scale dataset", | 277 | "display_name": "large-scale dataset", | ||
| 368 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | 278 | "id": "a9c694bf-f591-4625-a20e-d53d3f90d489", | ||
| 369 | "name": "large-scale dataset", | 279 | "name": "large-scale dataset", | ||
| 370 | "state": "active", | 280 | "state": "active", | ||
| 371 | "vocabulary_id": null | 281 | "vocabulary_id": null | ||
| n | 372 | }, | n | ||
| 373 | { | ||||
| 374 | "display_name": "object detection", | ||||
| 375 | "id": "607283c7-9e12-4167-9101-7f8078fb6537", | ||||
| 376 | "name": "object detection", | ||||
| 377 | "state": "active", | ||||
| 378 | "vocabulary_id": null | ||||
| 379 | }, | ||||
| 380 | { | ||||
| 381 | "display_name": "segmentation", | ||||
| 382 | "id": "7ce0e509-9f57-44c4-a015-f1ab9872bb44", | ||||
| 383 | "name": "segmentation", | ||||
| 384 | "state": "active", | ||||
| 385 | "vocabulary_id": null | ||||
| 386 | } | 282 | } | ||
| 387 | ], | 283 | ], | ||
| t | 388 | "title": "ImageNet-1K", | t | 284 | "title": "ImageNet-1k", |
| 389 | "type": "dataset", | 285 | "type": "dataset", | ||
| 390 | "version": "" | 286 | "version": "" | ||
| 391 | } | 287 | } |