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http://localhost:8080/xmlui/handle/123456789/3775
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DC Field | Value | Language |
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dc.contributor.author | Bodke, Kalpana | - |
dc.contributor.author | Momin, Faizan Haroon (17CO24) | - |
dc.contributor.author | Khan, Wasiullah (16CO32) | - |
dc.contributor.author | Shaikh, Mohammed Saif (16CO53) | - |
dc.contributor.author | Shaikh, Mohammed Faisal (15DCO70) | - |
dc.date.accessioned | 2021-12-13T04:55:56Z | - |
dc.date.available | 2021-12-13T04:55:56Z | - |
dc.date.issued | 2021-05 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3775 | - |
dc.description.abstract | Building an image classifierWe’ll train a convolutional neural network to classify an image as either cardboard, glass, metal, paper, plastic, or trash with the Tensorflow library. Recycling contamination occurs when waste is incorrectly disposed of—like recycling a pizza box with oil on it (compost). Or when waste is correctly disposed of but incorrectly prepared — like recycling UN rinsed jam jars. it becomes very difficult to recycle the waste the same goes to metals like iron , copper , aluminum etc.and e-waste like mobiles , computers and circuits if we somehow manage to profile them in write time then we can easily recycle them and also sell to any recycling industries. Keywords: Image Classification, Garbage Profiling | en_US |
dc.language.iso | en | en_US |
dc.publisher | AIKTC | en_US |
dc.subject | Project Report - CO | en_US |
dc.title | Garbage profiling system | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | Computer Engineering - Project Reports |
Files in This Item:
File | Description | Size | Format | |
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17CO24.pdf | Black Book | 801.54 kB | Adobe PDF | View/Open |
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