Datasets for insect detection
Datasets for object detection of insects in time-lapse recordings published in paper:
Bjerge K., Frigaard E. C., Karstoft H., Motion Informed Object Detection of Small Insects in Time-lapse Camera Recordings, 2022, arXiv
The zip files contains images and annotations in YOLO format.
Subfolders (XML) in the train and validation datasets do also have annotations in Pascal VOC format.
ultralytics/yolov5: YOLOv5 🚀 in PyTorch (github.com)
Image and label files are named:
S_C_YYYYMMDDHHMMSS
E.g.:
Image file: S1_0_20220717111730.jpg
Label file: S1_0_20220717111730.txt
Abbreviations:
S – Identification of camera systems: S1, S2, S3, S4 (Two cameras in each system)
C – Identification of camera with Id=0 or Id=1 in system identified by S
YYYYMMDDHHMMSS – Capture timestamp with year, month, date, hour, minutes, and second
Train datasets with color and motion-informed-enhanced images
(2,499 insect annotations in 3,783 images)
trainColor.zip
MD5 hash: 8b92c8de39ca9e515cbf102291ddd8165fbe34c7
Unzipped size: 1.35 GB
Files: 9398
trainMotion.zip
MD5 hash: 8b35ba06cd3835d5a43c7ee1f9cf3891775168b4
Unzipped size: 2.81 GB
Files: 9398
Validation dataset with color and motion-informed-enhanced images
(568 insect annotations in 946 images)
valColor.zip
MD5 hash: 3679197105d0c49c3e5a2cee6a508313472cf37e
Unzipped size: 348 MB
Files: 2332
valMotion.zip
MD5 hash: 33f3f395dae19e0ea2aa33e1fdc97f1d8692c860
Unzipped size: 729 MB
Files: 2332
Test datasets from camera sites with a week of annotated time-lapse images
(See paper Table 4 for detailed information of content, nearly 15,000 files in each zip file)
S1-0-W24.zip
MD5 hash: 893ecce931b35ee334d5687b4568ed5baafdea8b
Unzipped size: 5.72 GB
Files: 14294
S1-1-W29.zip
MD5 hash: 16fe86661df2860405a8119e04dd9c90b3d345a2
Unzipped size: 3.26 GB
Files: 15592
S2-0-W24.zip
MD5 hash: e50ced96073c831610e289479ebcfa7cbe5662b5
Unzipped size: 2.94 GB
Files: 14449
S2-1-W26.zip
MD5 hash: b18dd9113c3d70173c61d64131fbd457d0ad56ce
Unzipped size: 3.72 GB
Files: 14795
S3-0-W28.zip
MD5 hash: 2fcedd894a800ef4605ed1fae634be5f6e496f69
Unzipped size: 4.60 GB
Files: 17017
S4-0-W27.zip
MD5 hash: a071a570f0a7a1b210ea3262ef56fde48def17c8
Unzipped size: 4.67 GB
Files: 17051
S4-1-W30.zip
MD5 hash: a071a570f0a7a1b210ea3262ef56fde48def17c8
Unzipped size: 4.48 GB
Files: 16176