Datasets:

mnemoraorg
/

256x256-litter-sort-annotated-wastes

Tasks:

Image Classification

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noeyislearning commited on 8 days ago

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docs: update metadata and dataset information

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@@ -9,11 +9,12 @@ tags:
 - images
 - annotated
 - education
-pretty_name: Eco Sort 256x256
 size_categories:
 - 1K<n<10K
 ---
-# Eco Sort (256x256)
 It delivers 14 268 pre-curated photographs of common waste, evenly split across six material classes: Plastic (2 387), Metal (2 421), Glass (2 398), Cardboard (2 352), Paper (2 403) and Trash (2 307). All images were resized to 256 × 256 px in RGB, duplicates removed and quality-filtered through an ensemble pipeline to ensure balance and clarity. Organized in class-named folders, the set is ready for immediate ingestion into image-classification pipelines for automated waste-sorting tasks.

 - images
 - annotated
 - education
+- classification
+pretty_name: 256 x 256 Litter Sort Annotated Wastes
 size_categories:
 - 1K<n<10K
 ---
+# (256x256) Litter Sort Annotated Wastes
 It delivers 14 268 pre-curated photographs of common waste, evenly split across six material classes: Plastic (2 387), Metal (2 421), Glass (2 398), Cardboard (2 352), Paper (2 403) and Trash (2 307). All images were resized to 256 × 256 px in RGB, duplicates removed and quality-filtered through an ensemble pipeline to ensure balance and clarity. Organized in class-named folders, the set is ready for immediate ingestion into image-classification pipelines for automated waste-sorting tasks.