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Deep learning for plant identification
Published on Jan 31, 20171153 Views
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Chapter list
Deep Learning for Plant Identification00:00
Outline00:30
Introduction - 101:23
Introduction - 202:30
Dataset03:41
Pl@ntView dataset - 104:38
Pl@ntView dataset - 205:13
Pl@ntView dataset - 306:01
Meta-data for each image07:28
Observation & Images08:01
PlantCLEF 201508:36
PlantCLEF 2016 - 109:21
PlantCLEF 2016 - 209:55
PlantCLEF 2016 - 310:37
Overview of Pant Identification approaches11:11
Image segmentation11:32
Flower and fruit12:02
Leaf Scan13:04
Leaf13:56
Stem14:20
Feature extraction - 114:50
Feature extraction - 216:26
Feature extraction - 317:40
Classification18:44
Summary of the approaches19:31
Deep learning approach20:45
Data augmentation21:44
Augmentation by rotation22:41
Augmentation by mirroring22:56
Augmentation by skewing23:00
System architecture23:15
GoogLeNet Model24:18
Inception architecture24:50
GoogLeNet Layers25:57
Experiments - 126:25
Experiments - 226:51
Results27:54
Learning curve34:27
Irrelevant Sample Rejection for PlantCLEF 2016 - 134:40
Irrelevant Sample Rejection for PlantCLEF 2016 - 236:16
Additional problems - 137:50
Additional problems - 238:18
Conclusions and Further work39:25
Q&A42:08