Datasets:

mnemoraorg
/

512x384-litter-sort-annotated-wastes

Tasks:

Image Classification

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Dataset card Data Studio Files Files and versions

Noey Ignacio commited on Aug 30

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ed97924

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verified ·

1 Parent(s): a4c57db

docs: update metadata and dataset information

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README.md +4 -3

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@@ -9,11 +9,12 @@ tags:
 - images
 - annotated
 - education
-pretty_name: Litter Sort Annotated Wastes 512x384
 size_categories:
 - 1K<n<10K
 ---
-# Litter Sort Annotated Wastes (512x384)
-It contains 2,527 annotated photographs of everyday waste, split into six material classes: Cardboard (403), Glass (501), Metal (410), Paper (594), Plastic (482) and miscellaneous Trash (137). Images were gathered from varied lighting conditions, backgrounds and device cameras to reflect realistic disposal scenes. Each file is placed in a folder named after its class, making the collection ready for direct ingestion into image-classification pipelines aimed at automated garbage-type detection.

 - images
 - annotated
 - education
+- classification
+pretty_name: '512x384 Litter Sort Annotated Wastes '
 size_categories:
 - 1K<n<10K
 ---
+# (512x384) Litter Sort Annotated Wastes
+It contains 2,527 annotated photographs of everyday waste, split into six material classes: Cardboard (403), Glass (501), Metal (410), Paper (594), Plastic (482) and miscellaneous Trash (137). Images were gathered from varied lighting conditions, backgrounds and device cameras to reflect realistic disposal scenes. Each file is placed in a folder named after its class, making the collection ready for direct ingestion into image-classification pipelines aimed at automated garbage-type detection.