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1. Sub-image -“Cropout”
2. Semantic mask (same pixel mapping as fullsized data)
3. Vegetation segment - “Cutout”
Place the cutout (semifield-cutout) schema here as a drop down tab
This schema defines the structure for metadata related to image cutouts, which are sub-regions of larger images that have been extracted for analysis.
Properties Table
General Properties
...
Property
...
Type
...
Description
...
season
...
string
...
The growing season during which the cutout was captured (e.g., spring, summer). More Info
...
datetime
...
string (date-time)
...
The date and time when the cutout was captured in ISO 8601 format.
...
bbot_version
...
string
...
The version of the batch bot system used for processing the cutout. More info
...
batch_id
...
string
...
A unique identifier made up of a state abbreviation and date for the batch that contains the image (e.g., MD_2024-01-12).
...
image_id
...
string
...
A unique identifier made up of a state abbreviation and unix epoch timestamp for each image.
...
cutout_id
...
string
...
A unique identifier derived from the image_id and appended with an integer denoting the cutout number.
...
cutout_num
...
integer
...
The index or sequence number of the cutout within the image.
...
cutout_height
...
integer
...
The height of the cutout in pixels.
...
cutout_width
...
integer
...
The width of the cutout in pixels.
...
lens_model
...
string
...
The model of the camera lens used to capture the cutout.
...
validated
...
boolean
...
Indicates whether the cutout metadata has been validated.
...
cutout_version
...
string
...
data version number. Includes metadata and masks
...
cutout_props
...
object
...
Properties related to the cutout’s visual and structural features.
...
category
...
object
...
Category details for the cutout, including species classification.
Cutout Properties
...
Property
...
Type
...
Description
...
is_primary
...
boolean
...
...
extends_border
...
boolean
...
...
bbox_area_cm2
...
number
...
...
blur_effect
...
number
...
...
num_components
...
integer
...
...
cropout_rgb_mean
...
array of 3 numbers
...
...
cropout_rgb_std
...
array of 3 numbers
...
...
non_target_weed
...
boolean
...
non target weed classifier prediction results
...
non_target_weed_pred_conf
...
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 Schema
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This schema defines the structure for metadata related to image cutouts, which are sub-regions of larger images that have been extracted for analysis.
Properties Table
General Properties
Property | Type | Description |
|---|---|---|
| string | The growing season during which the cutout was captured (e.g., spring, summer). More Info |
| string (date-time) | The date and time when the cutout was captured in ISO 8601 format. |
| string | The version of the batch bot system used for processing the cutout. More info |
| string | A unique identifier made up of a state abbreviation and date for the batch that contains the image (e.g., MD_2024-01-12). |
| string | A unique identifier made up of a state abbreviation and unix epoch timestamp for each image. |
| string | A unique identifier derived from the image_id and appended with an integer denoting the cutout number. |
| integer | The index or sequence number of the cutout within the image. |
| integer | The height of the cutout in pixels. |
| integer | The width of the cutout in pixels. |
| string | The model of the camera lens used to capture the cutout. |
| boolean | Indicates whether the cutout metadata has been validated. |
| string | data version number. Includes metadata and masks |
| object | Properties related to the cutout’s visual and structural features. |
| object | Category details for the cutout, including species classification. |
Cutout Properties
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 Schema
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