Object detection using machine learning applications (Record no. 6540)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01240nam a22002057a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220107122852.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190704b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | IIITMK |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Vidhya V P (92217026) |
| 9 (RLIN) | 16046 |
| 245 ## - TITLE STATEMENT | |
| Title | Object detection using machine learning applications |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | MSC DA 2017-2019 |
| 500 ## - GENERAL NOTE | |
| General note | Object detection involves detecting instances of objects from a particular class<br/>in an image.The goal of object detection is to detect all instances of objects<br/>from a known class, such as people, cars or faces in an image. Typically only<br/>a small number of instances of the object are present in the image, but there<br/>is a very large number of possible locations and scales at which they can occur<br/>and that need to somehow be explored.Object Detection can be done via multiple<br/>ways:Feature-Based Object Detection,Viola Jones Object Detection,SVM<br/>Classications with HOG Features,Deep Learning Object Detection.Here object<br/>detection using deep learning is used. |
| 502 ## - DISSERTATION NOTE | |
| Degree type | MSC DA |
| Name of granting institution | 2017-2019 |
| Year degree granted | INT |
| -- | Dr Manoj Kumar T K |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | OBJECT DETECTION |
| 9 (RLIN) | 16047 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | IMAGE CLASSIFICATION |
| 9 (RLIN) | 16048 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | DEEP LEARNING |
| 9 (RLIN) | 16049 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MACHINE LEARNING |
| 9 (RLIN) | 16050 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IIITM-K | Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | 04/07/2019 | R-1565 | 04/07/2019 | 04/07/2019 | Project Reports |