[数据集][目标检测]鸟类检测数据集VOC+YOLO格式11758张200类别

2024-02-28 09:52

本文主要是介绍[数据集][目标检测]鸟类检测数据集VOC+YOLO格式11758张200类别,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

数据集格式:Pascal VOC格式+YOLO格式(不包含分割路径的txt文件,仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)
图片数量(jpg文件个数):11758
标注数量(xml文件个数):11758
标注数量(txt文件个数):11758
标注类别数:200
标注类别名称:["Black_footed_Albatross","Laysan_Albatross","Sooty_Albatross","Groove_billed_Ani","Crested_Auklet","Least_Auklet","Parakeet_Auklet","Rhinoceros_Auklet","Brewer_Blackbird","Red_winged_Blackbird","Rusty_Blackbird","Yellow_headed_Blackbird","Bobolink","Indigo_Bunting","Lazuli_Bunting","Painted_Bunting","Cardinal","Spotted_Catbird","Gray_Catbird","Yellow_breasted_Chat","Eastern_Towhee","Chuck_will_Widow","Brandt_Cormorant","Red_faced_Cormorant","Pelagic_Cormorant","Bronzed_Cowbird","Shiny_Cowbird","Brown_Creeper","American_Crow","Fish_Crow","Black_billed_Cuckoo","Mangrove_Cuckoo","Yellow_billed_Cuckoo","Gray_crowned_Rosy_Finch","Purple_Finch","Northern_Flicker","Acadian_Flycatcher","Great_Crested_Flycatcher","Least_Flycatcher","Olive_sided_Flycatcher","Scissor_tailed_Flycatcher","Vermilion_Flycatcher","Yellow_bellied_Flycatcher","Frigatebird","Northern_Fulmar","Gadwall","American_Goldfinch","European_Goldfinch","Boat_tailed_Grackle","Eared_Grebe","Horned_Grebe","Pied_billed_Grebe","Western_Grebe","Blue_Grosbeak","Evening_Grosbeak","Pine_Grosbeak","Rose_breasted_Grosbeak","Pigeon_Guillemot","California_Gull","Glaucous_winged_Gull","Heermann_Gull","Herring_Gull","Ivory_Gull","Ring_billed_Gull","Slaty_backed_Gull","Western_Gull","Anna_Hummingbird","Ruby_throated_Hummingbird","Rufous_Hummingbird","Green_Violetear","Long_tailed_Jaeger","Pomarine_Jaeger","Blue_Jay","Florida_Jay","Green_Jay","Dark_eyed_Junco","Tropical_Kingbird","Gray_Kingbird","Belted_Kingfisher","Green_Kingfisher","Pied_Kingfisher","Ringed_Kingfisher","White_breasted_Kingfisher","Red_legged_Kittiwake","Horned_Lark","Pacific_Loon","Mallard","Western_Meadowlark","Hooded_Merganser","Red_breasted_Merganser","Mockingbird","Nighthawk","Clark_Nutcracker","White_breasted_Nuthatch","Baltimore_Oriole","Hooded_Oriole","Orchard_Oriole","Scott_Oriole","Ovenbird","Brown_Pelican","White_Pelican","Western_Wood_Pewee","Sayornis","American_Pipit","Whip_poor_Will","Horned_Puffin","Common_Raven","White_necked_Raven","American_Redstart","Geococcyx","Loggerhead_Shrike","Great_Grey_Shrike","Baird_Sparrow","Black_throated_Sparrow","Brewer_Sparrow","Chipping_Sparrow","Clay_colored_Sparrow","House_Sparrow","Field_Sparrow","Fox_Sparrow","Grasshopper_Sparrow","Harris_Sparrow","Henslow_Sparrow","Le_Conte_Sparrow","Lincoln_Sparrow","Nelson_Sharp_tailed_Sparrow","Savannah_Sparrow","Seaside_Sparrow","Song_Sparrow","Tree_Sparrow","Vesper_Sparrow","White_crowned_Sparrow","White_throated_Sparrow","Cape_Glossy_Starling","Bank_Swallow","Barn_Swallow","Cliff_Swallow","Tree_Swallow","Scarlet_Tanager","Summer_Tanager","Artic_Tern","Black_Tern","Caspian_Tern","Common_Tern","Elegant_Tern","Forsters_Tern","Least_Tern","Green_tailed_Towhee","Brown_Thrasher","Sage_Thrasher","Black_capped_Vireo","Blue_headed_Vireo","Philadelphia_Vireo","Red_eyed_Vireo","Warbling_Vireo","White_eyed_Vireo","Yellow_throated_Vireo","Bay_breasted_Warbler","Black_and_white_Warbler","Black_throated_Blue_Warbler","Blue_winged_Warbler","Canada_Warbler","Cape_May_Warbler","Cerulean_Warbler","Chestnut_sided_Warbler","Golden_winged_Warbler","Hooded_Warbler","Kentucky_Warbler","Magnolia_Warbler","Mourning_Warbler","Myrtle_Warbler","Nashville_Warbler","Orange_crowned_Warbler","Palm_Warbler","Pine_Warbler","Prairie_Warbler","Prothonotary_Warbler","Swainson_Warbler","Tennessee_Warbler","Wilson_Warbler","Worm_eating_Warbler","Yellow_Warbler","Northern_Waterthrush","Louisiana_Waterthrush","Bohemian_Waxwing","Cedar_Waxwing","American_Three_toed_Woodpecker","Pileated_Woodpecker","Red_bellied_Woodpecker","Red_cockaded_Woodpecker","Red_headed_Woodpecker","Downy_Woodpecker","Bewick_Wren","Cactus_Wren","Carolina_Wren","House_Wren","Marsh_Wren","Rock_Wren","Winter_Wren","Common_Yellowthroat"]
每个类别标注的框数:
Black_footed_Albatross 框数 = 59
Laysan_Albatross 框数 = 60
Sooty_Albatross 框数 = 58
Groove_billed_Ani 框数 = 60
Crested_Auklet 框数 = 44
Least_Auklet 框数 = 41
Parakeet_Auklet 框数 = 53
Rhinoceros_Auklet 框数 = 48
Brewer_Blackbird 框数 = 59
Red_winged_Blackbird 框数 = 60
Rusty_Blackbird 框数 = 60
Yellow_headed_Blackbird 框数 = 56
Bobolink 框数 = 60
Indigo_Bunting 框数 = 59
Lazuli_Bunting 框数 = 58
Painted_Bunting 框数 = 58
Cardinal 框数 = 57
Spotted_Catbird 框数 = 43
Gray_Catbird 框数 = 58
Yellow_breasted_Chat 框数 = 59
Eastern_Towhee 框数 = 60
Chuck_will_Widow 框数 = 54
Brandt_Cormorant 框数 = 58
Red_faced_Cormorant 框数 = 52
Pelagic_Cormorant 框数 = 60
Bronzed_Cowbird 框数 = 60
Shiny_Cowbird 框数 = 60
Brown_Creeper 框数 = 59
American_Crow 框数 = 59
Fish_Crow 框数 = 60
Black_billed_Cuckoo 框数 = 59
Mangrove_Cuckoo 框数 = 52
Yellow_billed_Cuckoo 框数 = 59
Gray_crowned_Rosy_Finch 框数 = 59
Purple_Finch 框数 = 59
Northern_Flicker 框数 = 60
Acadian_Flycatcher 框数 = 59
Great_Crested_Flycatcher 框数 = 60
Least_Flycatcher 框数 = 59
Olive_sided_Flycatcher 框数 = 60
Scissor_tailed_Flycatcher 框数 = 60
Vermilion_Flycatcher 框数 = 60
Yellow_bellied_Flycatcher 框数 = 59
Frigatebird 框数 = 60
Northern_Fulmar 框数 = 59
Gadwall 框数 = 60
American_Goldfinch 框数 = 60
European_Goldfinch 框数 = 60
Boat_tailed_Grackle 框数 = 59
Eared_Grebe 框数 = 60
Horned_Grebe 框数 = 60
Pied_billed_Grebe 框数 = 60
Western_Grebe 框数 = 60
Blue_Grosbeak 框数 = 60
Evening_Grosbeak 框数 = 60
Pine_Grosbeak 框数 = 60
Rose_breasted_Grosbeak 框数 = 60
Pigeon_Guillemot 框数 = 58
California_Gull 框数 = 59
Glaucous_winged_Gull 框数 = 59
Heermann_Gull 框数 = 59
Herring_Gull 框数 = 60
Ivory_Gull 框数 = 60
Ring_billed_Gull 框数 = 60
Slaty_backed_Gull 框数 = 48
Western_Gull 框数 = 60
Anna_Hummingbird 框数 = 60
Ruby_throated_Hummingbird 框数 = 60
Rufous_Hummingbird 框数 = 60
Green_Violetear 框数 = 60
Long_tailed_Jaeger 框数 = 60
Pomarine_Jaeger 框数 = 60
Blue_Jay 框数 = 60
Florida_Jay 框数 = 60
Green_Jay 框数 = 56
Dark_eyed_Junco 框数 = 60
Tropical_Kingbird 框数 = 60
Gray_Kingbird 框数 = 59
Belted_Kingfisher 框数 = 60
Green_Kingfisher 框数 = 60
Pied_Kingfisher 框数 = 60
Ringed_Kingfisher 框数 = 60
White_breasted_Kingfisher 框数 = 60
Red_legged_Kittiwake 框数 = 53
Horned_Lark 框数 = 60
Pacific_Loon 框数 = 59
Mallard 框数 = 59
Western_Meadowlark 框数 = 60
Hooded_Merganser 框数 = 60
Red_breasted_Merganser 框数 = 60
Mockingbird 框数 = 60
Nighthawk 框数 = 60
Clark_Nutcracker 框数 = 60
White_breasted_Nuthatch 框数 = 60
Baltimore_Oriole 框数 = 60
Hooded_Oriole 框数 = 60
Orchard_Oriole 框数 = 59
Scott_Oriole 框数 = 60
Ovenbird 框数 = 60
Brown_Pelican 框数 = 60
White_Pelican 框数 = 49
Western_Wood_Pewee 框数 = 60
Sayornis 框数 = 60
American_Pipit 框数 = 60
Whip_poor_Will 框数 = 48
Horned_Puffin 框数 = 59
Common_Raven 框数 = 59
White_necked_Raven 框数 = 59
American_Redstart 框数 = 60
Geococcyx 框数 = 60
Loggerhead_Shrike 框数 = 60
Great_Grey_Shrike 框数 = 60
Baird_Sparrow 框数 = 50
Black_throated_Sparrow 框数 = 60
Brewer_Sparrow 框数 = 58
Chipping_Sparrow 框数 = 60
Clay_colored_Sparrow 框数 = 59
House_Sparrow 框数 = 60
Field_Sparrow 框数 = 59
Fox_Sparrow 框数 = 60
Grasshopper_Sparrow 框数 = 60
Harris_Sparrow 框数 = 60
Henslow_Sparrow 框数 = 60
Le_Conte_Sparrow 框数 = 59
Lincoln_Sparrow 框数 = 59
Nelson_Sharp_tailed_Sparrow 框数 = 59
Savannah_Sparrow 框数 = 60
Seaside_Sparrow 框数 = 60
Song_Sparrow 框数 = 60
Tree_Sparrow 框数 = 60
Vesper_Sparrow 框数 = 60
White_crowned_Sparrow 框数 = 60
White_throated_Sparrow 框数 = 60
Cape_Glossy_Starling 框数 = 58
Bank_Swallow 框数 = 59
Barn_Swallow 框数 = 60
Cliff_Swallow 框数 = 60
Tree_Swallow 框数 = 60
Scarlet_Tanager 框数 = 60
Summer_Tanager 框数 = 60
Artic_Tern 框数 = 58
Black_Tern 框数 = 60
Caspian_Tern 框数 = 60
Common_Tern 框数 = 60
Elegant_Tern 框数 = 60
Forsters_Tern 框数 = 60
Least_Tern 框数 = 60
Green_tailed_Towhee 框数 = 60
Brown_Thrasher 框数 = 59
Sage_Thrasher 框数 = 60
Black_capped_Vireo 框数 = 51
Blue_headed_Vireo 框数 = 60
Philadelphia_Vireo 框数 = 59
Red_eyed_Vireo 框数 = 60
Warbling_Vireo 框数 = 60
White_eyed_Vireo 框数 = 60
Yellow_throated_Vireo 框数 = 59
Bay_breasted_Warbler 框数 = 60
Black_and_white_Warbler 框数 = 60
Black_throated_Blue_Warbler 框数 = 59
Blue_winged_Warbler 框数 = 60
Canada_Warbler 框数 = 60
Cape_May_Warbler 框数 = 60
Cerulean_Warbler 框数 = 60
Chestnut_sided_Warbler 框数 = 60
Golden_winged_Warbler 框数 = 57
Hooded_Warbler 框数 = 60
Kentucky_Warbler 框数 = 59
Magnolia_Warbler 框数 = 59
Mourning_Warbler 框数 = 60
Myrtle_Warbler 框数 = 60
Nashville_Warbler 框数 = 60
Orange_crowned_Warbler 框数 = 60
Palm_Warbler 框数 = 60
Pine_Warbler 框数 = 60
Prairie_Warbler 框数 = 60
Prothonotary_Warbler 框数 = 60
Swainson_Warbler 框数 = 56
Tennessee_Warbler 框数 = 59
Wilson_Warbler 框数 = 60
Worm_eating_Warbler 框数 = 59
Yellow_Warbler 框数 = 60
Northern_Waterthrush 框数 = 60
Louisiana_Waterthrush 框数 = 60
Bohemian_Waxwing 框数 = 60
Cedar_Waxwing 框数 = 60
American_Three_toed_Woodpecker 框数 = 50
Pileated_Woodpecker 框数 = 60
Red_bellied_Woodpecker 框数 = 60
Red_cockaded_Woodpecker 框数 = 58
Red_headed_Woodpecker 框数 = 60
Downy_Woodpecker 框数 = 60
Bewick_Wren 框数 = 60
Cactus_Wren 框数 = 60
Carolina_Wren 框数 = 60
House_Wren 框数 = 59
Marsh_Wren 框数 = 60
Rock_Wren 框数 = 60
Winter_Wren 框数 = 60
Common_Yellowthroat 框数 = 60
总框数:11758
使用标注工具:labelImg
标注规则:对类别进行画矩形框
重要说明:暂无
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

这篇关于[数据集][目标检测]鸟类检测数据集VOC+YOLO格式11758张200类别的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!



http://www.chinasem.cn/article/755130

相关文章

Python实现获取带合并单元格的表格数据

《Python实现获取带合并单元格的表格数据》由于在日常运维中经常出现一些合并单元格的表格,如果要获取数据比较麻烦,所以本文我们就来聊聊如何使用Python实现获取带合并单元格的表格数据吧... 由于在日常运维中经常出现一些合并单元格的表格,如果要获取数据比较麻烦,现将将封装成类,并通过调用list_exc

Mysql数据库中数据的操作CRUD详解

《Mysql数据库中数据的操作CRUD详解》:本文主要介绍Mysql数据库中数据的操作(CRUD),详细描述对Mysql数据库中数据的操作(CRUD),包括插入、修改、删除数据,还有查询数据,包括... 目录一、插入数据(insert)1.插入数据的语法2.注意事项二、修改数据(update)1.语法2.有

SpringBoot实现接口数据加解密的三种实战方案

《SpringBoot实现接口数据加解密的三种实战方案》在金融支付、用户隐私信息传输等场景中,接口数据若以明文传输,极易被中间人攻击窃取,SpringBoot提供了多种优雅的加解密实现方案,本文将从原... 目录一、为什么需要接口数据加解密?二、核心加解密算法选择1. 对称加密(AES)2. 非对称加密(R

详解如何在SpringBoot控制器中处理用户数据

《详解如何在SpringBoot控制器中处理用户数据》在SpringBoot应用开发中,控制器(Controller)扮演着至关重要的角色,它负责接收用户请求、处理数据并返回响应,本文将深入浅出地讲解... 目录一、获取请求参数1.1 获取查询参数1.2 获取路径参数二、处理表单提交2.1 处理表单数据三、

Spring Validation中9个数据校验工具使用指南

《SpringValidation中9个数据校验工具使用指南》SpringValidation作为Spring生态系统的重要组成部分,提供了一套强大而灵活的数据校验机制,本文给大家介绍了Spring... 目录1. Bean Validation基础注解常用注解示例在控制器中应用2. 自定义约束验证器定义自

C#实现高性能Excel百万数据导出优化实战指南

《C#实现高性能Excel百万数据导出优化实战指南》在日常工作中,Excel数据导出是一个常见的需求,然而,当数据量较大时,性能和内存问题往往会成为限制导出效率的瓶颈,下面我们看看C#如何结合EPPl... 目录一、技术方案核心对比二、各方案选型建议三、性能对比数据四、核心代码实现1. MiniExcel

SQL常用操作精华之复制表、跨库查询、删除重复数据

《SQL常用操作精华之复制表、跨库查询、删除重复数据》:本文主要介绍SQL常用操作精华之复制表、跨库查询、删除重复数据,这些SQL操作涵盖了数据库开发中最常用的技术点,包括表操作、数据查询、数据管... 目录SQL常用操作精华总结表结构与数据操作高级查询技巧SQL常用操作精华总结表结构与数据操作复制表结

Redis中的数据一致性问题以及解决方案

《Redis中的数据一致性问题以及解决方案》:本文主要介绍Redis中的数据一致性问题以及解决方案,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教... 目录一、Redis 数据一致性问题的产生1. 单节点环境的一致性问题2. 网络分区和宕机3. 并发写入导致的脏数据4. 持

使用Python开发Markdown兼容公式格式转换工具

《使用Python开发Markdown兼容公式格式转换工具》在技术写作中我们经常遇到公式格式问题,例如MathML无法显示,LaTeX格式错乱等,所以本文我们将使用Python开发Markdown兼容... 目录一、工具背景二、环境配置(Windows 10/11)1. 创建conda环境2. 获取XSLT

Java注解之超越Javadoc的元数据利器详解

《Java注解之超越Javadoc的元数据利器详解》本文将深入探讨Java注解的定义、类型、内置注解、自定义注解、保留策略、实际应用场景及最佳实践,无论是初学者还是资深开发者,都能通过本文了解如何利用... 目录什么是注解?注解的类型内置注编程解自定义注解注解的保留策略实际用例最佳实践总结在 Java 编程