The Animal10N Training Set consists of 40,000 images of animals from 10 different classes. The images are labeled with the animal's class.

Farm Animals

## Overview

Farm Animals is a dataset for object detection tasks - it contains Cow Sheep Hen annotations for 9,283 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

OPC Animals

## Overview

OPC Animals is a dataset for object detection tasks - it contains Animal annotations for 7,258 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

A dataset of images of different animals.

In early 2017, the Bloomington Animal Shelter migrated management software from AnimalShelterNet to Shelter Manager. We attempted to preserve as much information as possible from the old system.

The outcome fields in animal shelter are scattered in multiple fields not just one, for example Dead on arrival, Put to sleep, Movement Type and others are all considered as part of outcome.

This dataset was originally created by Dane Sprsiter. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/dane-sprsiter/barnyard.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

Fr0styKn1ght/Animals dataset hosted on Hugging Face and contributed by the HF Datasets community

Animals

## Overview

Animals is a dataset for object detection tasks - it contains Elephant annotations for 1,805 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Dataset Card for "big-animal-dataset"

Hi! I combined animals 10 dataset, the oxford pets dataset, stanford dogs dataset, and the cats vs dogs dataset for a large animal dataset. More Information needed

This dataset contains images used in the monograph titled Zastosowanie wybranych metod uczenia głębokiego w wizji komputerowej (Application of Selected Deep Learning Methods in Computer Vision) to build the Faster R-CNN model. The full collection consists of 600 image files showing 6 classes of objects: kot (cat), krowa (cow), pies (dog), koń (horse), człowiek (human), owca (sheep) (https://drive.google.com/file/d/1g3O1Qq2YqmCb8WSMDHaoFJPoHe6yujlQ/view?usp=drive_link). All images were scaled so that the smaller side is no shorter than 600 pixels and the larger side is no longer than 1000 pixels. The set was randomly divided into a training part (75% of the full set) and a test part (25% of the full set). As a result, the training part contains 450 files, and the test part - 150. Both parts are balanced - they contain a similar number of detected objects. The images are labeled with bounding boxes in the Pacal VOC format, according to which the description of each file is contained in an XML file with the same name. The dataset can be used to build models for object detection.

Dataset of Animals listed in IUCN Red List.

Animals included in the dataset as of now -> 1. African Elephant 2. Amur Leopard 3. Artic Fox 4. Chimpanzee 5. Orangutan

Identifying Animals

## Overview

Identifying Animals is a dataset for object detection tasks - it contains Animals annotations for 4,063 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Freakscode/Animals dataset hosted on Hugging Face and contributed by the HF Datasets community

The NYS Department of Environmental Conservation (DEC) collects and maintains several datasets on the locations, distribution and status of species of plants and animals. Information on distribution by county from the following three databases was extracted and compiled into this dataset. First, the New York Natural Heritage Program biodiversity database: Rare animals, rare plants, and significant natural communities. Significant natural communities are rare or high-quality wetlands, forests, grasslands, ponds, streams, and other types of habitats. Next, the 2nd NYS Breeding Bird Atlas Project database: Birds documented as breeding during the atlas project from 2000-2005. And last, DEC’s NYS Reptile and Amphibian Database: Reptiles and amphibians; most records are from the NYS Amphibian & Reptile Atlas Project (Herp Atlas) from 1990-1999.

In 2019, 797,546 animals were used for research in research facilities in the United States. This is an increase from the previous year, when about 780,070 animals were used for research in the country.

* = juveniles.

See topp.org for a description of this data

Curated collection of 76 free animals SVG illustrations and vector graphics. Comprehensive animal illustration collection featuring realistic, cartoon, and stylized depictions of wildlife, pets, and exotic creatures

Incidents responded to by the Baton Rouge Animal Control and Rescue Center (ACRC). ACRC is responsible for carrying out duties related to animal-related situations, including: administering the anti-rabies vaccination, licensing, and tag program; investigating animal cruelty incidents; investigating dog fighting; resolving dangerous animal situations; rescuing injured animals; investigating abandoned animal cases; investigating occult, animal sacrifice, and bestiality cases; resolving stray animal situations; enforcing the leash law and owned animal problems; assisting law enforcement with narcotics, evictions, and DWI cases; enforcing barking dog cases; inspecting dog yards/pens; chaining or tethering compliance; assisting animal welfare groups with feral interventions; and conducting educational programs. As many of the incidents included within this data set involve active cases that are currently under investigation and computerized system limitations do not allow for automated screening of open/closed cases, the identity of animal owners is redacted to protect the privacy of the animal owner. Members of the public interested in the identity of a specific incident may contact ACRC directly to inquire about the incident and, if it is closed, ACRC will release a copy of the file to the person requesting it. However, location data regarding where the incident was reported or occurred is included within this data set, which may or may not be the same location as the animal owner's home or property. In addition, to protect the identity of the complainant (person filing the complaint or alerting ACRC to a potential incident), only the complainant's street name is included as part of this data set. Finally, while all incidents are updated on a daily basis, incidents involving animal cruelty are updated based on a rolling 30-day delay to allow for ACRC to investigate the incident and make a determination as to the validity of the cruelty complaint.