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quasara-io
/

Quasara-MajorTOM-DE-SigLIP

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Zero-Shot Classification

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inie2003 commited on Sep 25

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bf0d53e

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1 Parent(s): 14abbe7

added license

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README.md +2 -3

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@@ -3,6 +3,7 @@ task_categories:
 - zero-shot-classification
 language:
 - en
 ---
 # Dataset Card for Dataset Name
@@ -111,6 +112,4 @@ The MajorTOM-DE dataset can be utilized for various applications, including:
 | image_type    | Each image is split into 70 segments and vectorized. |
 | coordinates   | Coordinates in the image that define the segment that was vectorized. Full images have no coordinates. |
 | split_configs | Quasara auto split configuration |
-| embeddings    | Vectors calculated from the image/image segment.                                                     |

 - zero-shot-classification
 language:
 - en
+license: apache-2.0
 ---
 # Dataset Card for Dataset Name
 | image_type    | Each image is split into 70 segments and vectorized. |
 | coordinates   | Coordinates in the image that define the segment that was vectorized. Full images have no coordinates. |
 | split_configs | Quasara auto split configuration |
+| embeddings    | Vectors calculated from the image/image segment.                                                     |