• 1,509 camera trap sites from 110 camera trap arrays covering 12 different ecoregions
  • 166,036 unique detections of 83 species of mammals and 17 species of birds

The penguin dataset

  • X images (28GB), 40 different locations
  • Annotations : X-Y coordinates on each penguin (json or MAT)

Oregon Wildlife image collection

  • 14013 images, 20 species, (4,36 GB)
  • Annotations : name of the class (images sorted by folder)
  • 5 classes already preprocessed with GapCV (?)

Caltech camera Trap dataset

  • 243,187 (104 GB) images with class annotation
  • 57,864 images with bounding box annotation
  • Annotations in COCO format (json)

North American Camera Trap Images (NACTI)

Snapshot Serengeti

Wildlife Image and Localization Dataset (WILD)

  • A new ground-truthed dataset for the tasks presented in this paper, called WILD; WILD is comprised of photographs taken by biologists, wildlife rangers, citizen scientists [13], and conservationists.
  • 5,784 images, 28 species (1,4 GB)
  • Annotations : Bounding box in Pascal VOC format
  • Link to download not working

The Aerial Elephant Dataset

  • From this paper)
  • 2101 images (16 GB) containing a total of 15 511 elephants. It is split into training and test subsets with 1649 images containing 12455 elephants in the training set and 452 images containing 3056 elephants in the test set.
  • Annotations : ?


  • Kaggle competition (finished) with data from CaltechCameraTraps, iNaturalist 2017/2018, and simulated data generated from Microsoft AirSim.
  • 196,157 images (43 GB) from 138 different locations in Southern California, 14 classes.
  • Annotations : class (.csv)


  • Many labeled camera trap dataset are hosted and available on this website.
  • Also look at others for more datasets.

Reconyx Camera Trap

  • Used in Schnieder et al, arxiv 2019
  • 7,193 camera trap images from two locations in Panama and the Netherlands, capturing colour images during the day, and gray-scale at night.
  • Only a subset of 946 images include labeled bounding box coordinates


  • ~35K images taken from monitoring cameras on fishing boats
  • 24 object classes (fish species and human)
  • Annotations : bounding box in .csv format.


EcoTaxa is a web application dedicated to the visual exploration and the taxonomic annotation of images that illustrate the beauty of planktonic biodiversity.

CANOPY USA National Ecological Observatory Network’s Airborne Observation Platform

The benchmark dataset contains over 6,000 image-annotated crowns, 400 field-annotated crowns, and 3,000 canopy stem points from a wide range of forest types.

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