Page Index - HoldenCaulfieldRye/PlantRecog GitHub Wiki
25 page(s) in this GitHub Wiki:
- Home
- Image Recognition With Deep Learning
- Deep Convolutional Neural Nets
- Dimension Hopping
- Replicated Feature Detection
- Our Network's Architecture
- Ideas
- Output layer: softmax, taxon for target values
- Backpropagation Initial Weights: discretely explore error function
- Backpropagation Initial Weights: estimate polynomial order of error function
- Backpropagation Initial Weights: unsupervised pretraining
- Data
- Labelled photos taken by amateurs is the ideal data to look for. Discussion below. NB1: we can't use externally sourced data for the PlantClef competition, so this data would be strictly for the app. NB2: below are my (alexd) opinions, but I may be wrong!
- Amateur Photos
- Labeled Data
- Species Label
- Category Label
- Bounding Box
- Taxon Label
- Location Label
- Other PlantClef Labels
- Professional Wildlife Photos Still Good
- Scientific Scan Images Still Good
- Overview
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