数据集格式：labelme格式(不包含mask文件，仅仅包含jpg图片和对应的json文件)

图片数量(jpg文件个数)：7111

标注数量(json文件个数)：7111

标注类别数：102

标注类别名称:["stemless_gentian","peruvian_lily","bougainvillea","bromelia","californian_poppy","giant_white_arum_lily","camellia","canna_lily","canterbury_bells","cape_flower","carnation","cautleya_spicata","tiger_lily","clematis","anthurium","colts_foot","columbine","common_dandelion","corn_poppy","mexican_aster","siam_tulip","cyclamen","moon_orchid","desert-rose","balloon_flower","purple_coneflower","foxglove","oxeye_daisy","frangipani","artichoke","fritillary","gaura","gazania","geranium","bird_of_paradise","snapdragon","english_marigold","globe_flower","globe_thistle","fire_lily","great_masterwort","azalea","hard-leaved_pocket_orchid","hibiscus","hippeastrum","japanese_anemone","lenten_rose","lotus","magnolia","mallow","marigold","mexican_petunia","buttercup","monkshood","ball_moss","morning_glory","grape_hyacinth","love_in_the_mist","yellow_iris","orange_dahlia","osteospermum","passion_flower","barbeton_daisy","pelargonium","petunia","pincushion_flower","pink-yellow_dahlia","pink_primrose","poinsettia","primula","prince_of_wales_feathers","garden_phlox","red_ginger","rose","ruby-lipped_cattleya","silverbush","bearded_iris","spear_thistle","spring_crocus","sunflower","daffodil","sweet_william","sweet_pea","sword_lily","alpine_sea_holly","thorn_apple","bee_balm","toad_lily","tree_mallow","tree_poppy","trumpet_creeper","wallflower","watercress","bishop_of_llandaff","water_lily","wild_pansy","windflower","king_protea","black_eyed_susan","blackberry_lily","blanket_flower","bolero_deep_blue"]

每个类别标注的框数：

stemless_gentian count = 103

peruvian_lily count = 112

bougainvillea count = 143

bromelia count = 58

californian_poppy count = 102

giant_white_arum_lily count = 62

camellia count = 83

canna_lily count = 129

canterbury_bells count = 97

cape_flower count = 166

carnation count = 68

cautleya_spicata count = 55

tiger_lily count = 36

clematis count = 115

anthurium count = 133

colts_foot count = 122

columbine count = 84

common_dandelion count = 88

corn_poppy count = 39

mexican_aster count = 35

siam_tulip count = 37

cyclamen count = 266

moon_orchid count = 72

desert-rose count = 127

balloon_flower count = 65

purple_coneflower count = 100

foxglove count = 215

oxeye_daisy count = 52

frangipani count = 169

artichoke count = 85

fritillary count = 97

gaura count = 95

gazania count = 103

geranium count = 116

bird_of_paradise count = 80

snapdragon count = 87

english_marigold count = 69

globe_flower count = 52

globe_thistle count = 46

fire_lily count = 45

great_masterwort count = 111

azalea count = 129

hard-leaved_pocket_orchid count = 58

hibiscus count = 136

hippeastrum count = 136

japanese_anemone count = 72

lenten_rose count = 66

lotus count = 127

magnolia count = 80

mallow count = 80

marigold count = 140

mexican_petunia count = 124

buttercup count = 64

monkshood count = 214

ball_moss count = 47

morning_glory count = 121

grape_hyacinth count = 46

love_in_the_mist count = 48

yellow_iris count = 45

orange_dahlia count = 70

osteospermum count = 96

passion_flower count = 236

barbeton_daisy count = 139

pelargonium count = 72

petunia count = 265

pincushion_flower count = 63

pink-yellow_dahlia count = 190

pink_primrose count = 123

poinsettia count = 106

primula count = 207

prince_of_wales_feathers count = 122

garden_phlox count = 168

red_ginger count = 43

rose count = 166

ruby-lipped_cattleya count = 135

silverbush count = 61

bearded_iris count = 52

spear_thistle count = 44

spring_crocus count = 56

sunflower count = 56

daffodil count = 73

sweet_william count = 212

sweet_pea count = 156

sword_lily count = 196

alpine_sea_holly count = 56

thorn_apple count = 114

bee_balm count = 58

toad_lily count = 47

tree_mallow count = 86

tree_poppy count = 65

trumpet_creeper count = 111

wallflower count = 201

watercress count = 206

bishop_of_llandaff count = 148

water_lily count = 199

wild_pansy count = 90

windflower count = 56

king_protea count = 50

black_eyed_susan count = 53

blackberry_lily count = 55

blanket_flower count = 48

bolero_deep_blue count = 49

使用标注工具：labelme=5.5.0

标注规则：对类别进行画多边形框polygon

重要说明：可以将数据集用labelme打开编辑，json数据集需自己转成mask或者yolo格式或者coco格式作语义分割或者实例分割

特别声明：本数据集不对训练的模型或者权重文件精度作任何保证，数据集只提供准确且合理标注

图片预览：

标注例子：