I'm working on an object detection system for detecting elephants! It's detailed here https://www.wildlabs.net/community/thread/284 and at my project page here too https://hackaday.io/project/20448-elephant-ai . At present I am still attempting to train an object detector using Histogram of Oriented Gradients (HOG) and Linear Support Vector Machines (SVM) implemented using python w open-source libraries. Although I might move to TensorFlow.
So, for training my object detector, I need many images of both elephants and other 'not-elephant' large mammals (specifically: macaques, langurs, gibbons, wolves, jackals, foxes, sun bears, black and brown bears, sloth bears, otters, civetss, mongooes, tigers, leopards, other smaller felines, rhinos, hogs, boars, deer, yaks, buffalo, antelopes). It's especially hard differentiating rhinos from elephants. That is a big problem!
It would be best if animals were at range of 2m+ from camera. At the moment I would like to do a training run with 5000 non-elephants and 1000 elephants! Just from IR-filtered (daylight) cameras at the moment.
If anyone could help out by sharing their images: either by uploading images via ftp or sharing/uploading via dropbox, etc. that would be really great!
Thanks for reading!