公开数据集
数据结构 ? 558.83M
Data Structure ?
* 以上分析是由系统提取分析形成的结果,具体实际数据为准。
README.md
Hand-curated, close-up photos of bees
, wasps
, and other
insects. The challenge is primarily to
distinguish bees from wasps.
Excerpt from labels.csv
:
id,path,is_bee,is_wasp,is_otherinsect,is_other,photo_quality,is_validation,is_final_validation
1,bee110007154554_026417cfd0_n.jpg,1,0,0,0,1,0,0
2,bee110024864894_6dc54d4b34_n.jpg,1,0,0,0,1,0,1
3,bee110092043833_7306dfd1f0_n.jpg,1,0,0,0,1,1,0
6842,wasp2I00101.jpg,0,1,0,0,0,0,0
6843,wasp2I00102.jpg,0,1,0,0,0,0,0
6844,wasp2I00103.jpg,0,1,0,0,0,1,0
Dataset totals
we have:
bees..........: 3183
wasps.........: 4943
other insects.: 2453
other.........: 845
in that, there is:
training photos : 7942
hyperparameter tuning (1st level validation) photos : 1719
final validation (brag about your result with these) photos : 1763
In the final validation, there is 504 bees and 753 wasps, meaning that the resolution of the result is 0.08%
Labels:
in labels.csv
:
id
- ordinal - unique indexpath
- string - relative path to the photo, including extensionis_bee
- nominal - 1 if there is a bee in the photois_wasp
- nominal - 1 if there is a wasp in the photois_otherinsect
- nominal - 1 if there is other insect prominently in the centre of the photo, but it is not a wasp and not a bee. It might be a fly, but there are other things there too, like beetlesis_other
- random photos not containing any insectsphoto_quality
- 1 for photos where I have very high confidence that it is bee, wasp, or other. 0 for photos of generally low quality or where I am not very confident that it is what it says it is. You can use this to initially reduce the size of the training setis_validation
- you can use this for your training validation, or you can combine these with the training data and split your training/validation differentlyis_final_validation
- do NOT use these photos for training - use them to compute your final score. This will enable comparing results by different kagglers. Optionally, if you want to deploy an app to actually serve the model, you can then use these for final training too.
Data Collection
This image dataset collates and refines upon several sources:
- "PollenDataset" by 2017 Ivan Rodriguez, R¨¦mi M¨¦gret, Edgar Acu?a, Jos¨¦ Agosto, Tugrul Giray, from here
- https://www.kaggle.com/tegwyntwmffat/european-wasp-vespula-vulgaris-kitti-format/ there isn't any better description
- Flicker search for bee, wasp and fly
The photos have been hand-curated by our expert biologist, Callum Robertson https://www.linkedin.com/in/callum-robertson-358014109/
Collator and Kaggle competitor: George Rey
×
帕依提提提温馨提示
该数据集正在整理中,为您准备了其他渠道,请您使用
注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
暂无相关内容。
暂无相关内容。
- 分享你的想法
去分享你的想法~~
全部内容
欢迎交流分享
开始分享您的观点和意见,和大家一起交流分享.
数据使用声明:
- 1、该数据来自于互联网数据采集或服务商的提供,本平台为用户提供数据集的展示与浏览。
- 2、本平台仅作为数据集的基本信息展示、包括但不限于图像、文本、视频、音频等文件类型。
- 3、数据集基本信息来自数据原地址或数据提供方提供的信息,如数据集描述中有描述差异,请以数据原地址或服务商原地址为准。
- 1、本站中的所有数据集的版权都归属于原数据发布者或数据提供方所有。
- 1、如您需要转载本站数据,请保留原数据地址及相关版权声明。
- 1、如本站中的部分数据涉及侵权展示,请及时联系本站,我们会安排进行数据下线。