Intrusion Detection w/ Deep Learning

Dataset

These are from memory… Details TBA.

~400 samples, each including one 12MPixels photo + 2 seconds video (1440x1080, 25fps)
4 kids climbing (mostly my son Charles and daughter Emily)
3 seasons: summer, fall, winter
5 different days and weather pattern, lighting, clothing, etc.
10 different segments of fences with many chain-link configurations
Each sample taken from different angle. Distance from fence varies from 3m to 45m
Roughly half of images are of climbing (i.e. alarm), half have fences without climbing.
Changing environments, e.g. other kids, dog, cars, adults walking, running, etc.
Some tricky images, e.g. my son posed like he’s climbing behind the fence, but not actually touching the fence
Taken with my iPhone 6P
Total capture and pre-processing time: ~16 hours
No kid or animal was harmed in the making of this dataset

~150 pictures of people climbing or jumping over fences, ~150 pictures of fences without climbing
total time to find suitable pictures: ~3 hours (surprisingly long!)
~half of the images have EXIF tags, e.g. with GPS location, field of view, etc.