Datasets:
File size: 1,622 Bytes
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---
license: mit
size_categories:
- 10K<n<100K
task_categories:
- image-segmentation
dataset_info:
- config_name: default
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 20529210440
num_examples: 40000
- name: test
num_bytes: 5090296000
num_examples: 10000
download_size: 25684569380
dataset_size: 25619506440
- config_name: human-plant
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 20529582920
num_examples: 40000
- name: test
num_bytes: 5084631770
num_examples: 10000
download_size: 25675082023
dataset_size: 25614214690
- config_name: human-plant-tiny
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 5117076360.0
num_examples: 10000
- name: test
num_bytes: 1280707488.5
num_examples: 2500
download_size: 6400701649
dataset_size: 6397783848.5
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- config_name: human-plant
data_files:
- split: train
path: human-plant/train-*
- split: test
path: human-plant/test-*
- config_name: human-plant-tiny
data_files:
- split: train
path: human-plant-tiny/train-*
- split: test
path: human-plant-tiny/test-*
---
# AgroSegNet
This dataset comprises synthetic images captured from a top-down perspective, featuring two distinct annotations: one for direct sunlight and another for human and plant segmentation. |