The Oxford Flowers 102 dataset is a consistent of 102 flower categories commonly occurring in the United Kingdom. Each class consists of between 40 and 258 images. The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.
The dataset is divided into a training set, a validation set and a test set. The training set and validation set each consist of 10 images per class (totalling 1020 images each). The test set consists of the remaining 6149 images (minimum 20 per class).
Note: The dataset by default comes with a test size larger than the train size. For more info see this issue.
To use this dataset:
import tensorflow_datasets as tfds
ds = tfds.load('oxford_flowers102', split='train')
for ex in ds.take(4):
print(ex)
See the guide for more informations on tensorflow_datasets.
https://storage.googleapis.com/tfds-data/visualization/fig/oxford_flowers102-2.1.1.png" alt="Visualization" width="500px">
This dataset was created by Munira Hadi Omar
It contains the following files:
S-102 is a data and metadata encoding specification that is part of the S-100 Universal Hydrographic Data Model, an international standard for hydrographic data exchange. This collection of data contains bathymetric surfaces from NOAA/NOS/OCS National Bathymetric Source, for various U.S. coastal and offshore waters and the great lakes. These datasets are encoded as HDF5 files conforming to the S-102 specification.
Timeseries data from '102 - Point Dume, CA' (edu_ucsd_cdip_102)
This dataset provides information about the number of properties, residents, and average property values for County Road 102 cross streets in Oxford, MS.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
a) Defined as living with partner/family.b) Defined as studies on University level.c) Defined as employment in the open labor.d) Defined as prescribed medication taken daily.*A twin pair unaffected by schizophrenia or bipolar disorder were on antidepressants at the time of lumbar puncture.
Data for ioos-station-LUMCON-102 for the period 2004/01. 2004/01 time series data for ioos-station-LUMCON-102 platform served via Gulf of America Coastal Observing System (GCOOS) Data Portal.
https://data.gov.tw/licensehttps://data.gov.tw/license
The number of data collection cases for national security maintenance work is 102-106.
Epidemiological and immunological data of 102 individuals at enrollment.
This dataset provides information about the number of properties, residents, and average property values for Highway 102 cross streets in Maysville, AR.
This dataset provides information about the number of properties, residents, and average property values for 102 Avenue cross streets in Spivey, KS.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
EC308 Snake mummy whole slice data 102 micron voxel size
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
We collected data on tree height and diameter at breast height for 26,259 individuals of 102 species in Japan from 86 literature. We hope that this dataset will be widely used for forest management and research.
This dataset provides information about the number of properties, residents, and average property values for County Road 102 cross streets in Jack, AL.
https://data.gov.tw/licensehttps://data.gov.tw/license
The 102 annual A2 type traffic accident data......
The Oxford Flowers 102 dataset is a consistent of 102 flower categories commonly occurring in the United Kingdom. Each class consists of between 40 and 258 images. The images have large scale, pose and light variations. In addition, there are categories that have large variations within the category and several very similar categories.
The dataset is divided into a training set, a validation set and a test set. The training set and validation set each consist of 10 images per class (totalling 1020 images each). The test set consists of the remaining 6149 images (minimum 20 per class).
Note: The dataset by default comes with a test size larger than the train size. For more info see this issue.
To use this dataset:
import tensorflow_datasets as tfds
ds = tfds.load('oxford_flowers102', split='train')
for ex in ds.take(4):
print(ex)
See the guide for more informations on tensorflow_datasets.
https://storage.googleapis.com/tfds-data/visualization/fig/oxford_flowers102-2.1.1.png" alt="Visualization" width="500px">