Datasets:
File size: 2,065 Bytes
a982e42 e58691d 4bda098 1ba242a 4bda098 a6a6343 4bda098 a6a6343 4bda098 a6a6343 eb706c2 1ba242a a6a6343 1ba242a a6a6343 1ba242a a6a6343 e58691d 4bda098 eb706c2 1ba242a e58691d 8392528 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 |
---
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: default-tiny
features:
- name: image
dtype: image
- name: label
dtype: image
splits:
- name: train
num_bytes: 5118141240.0
num_examples: 10000
- name: test
num_bytes: 1282239473.5
num_examples: 2500
download_size: 6404787627
dataset_size: 6400380713.5
- 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: default-tiny
data_files:
- split: train
path: default-tiny/train-*
- split: test
path: default-tiny/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. |