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1. Sub-image
...
-“Cropout”
<Brief description here>
<adding examples of these which can be found here: Data Examples >
2. Semantic mask (same pixel mapping as fullsized data)
<Brief description here>
<add examples>
3. Vegetation segment
...
- “Cutout”
<Brief description here>
This schema defines the structure for metadata related to image cutouts, which are sub-regions of larger images that have been extracted for analysis.
...
Property | Type | Description |
|---|---|---|
| boolean |
|
| boolean |
|
| number |
|
| number |
|
| integer |
|
| array of 3 numbers |
|
| array of 3 numbers |
|
| boolean | non target weed classifier prediction results |
| number | prediction confidence of model indicating whether it’s a non-target weed. From custom trained classifier |
Category Properties
Detailed Descriptions
Cutout Season Details
Description:
Valid Values:
Usage Notes:
4. Metadata
Brief description
examples here (Matt will get)
4.1 Metadata Schema
<drop down> Matt will get
4.1 Properties Table
move the table above to this section