============================================================================================= InsectDCT: Datasets for training and evaluating pipeline processing insect camera recordings ============================================================================================= Contains the dataset for training and testing of models to detect and hierarchically classify taxa of primary arthropods in video or time-lapse camera recordings described in the paper: Kim Bjerge, Simon Wogram, Pau Enric Serra-Marin, Toke T. Høye, InsectDCT: A generalised pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings, 2026, bioRxiv The zip files contain the needed files and directory structure to train the models in Python code published at: https://github.com/kimbjerge/insectDCT ================================================================= Content of ZIP files for the training dataset (insect detection): ================================================================= detectorColorYOLOV6.zip (51GB) and detectorMotionYOLOV6.zip (71GB) The ZIP files can be downloaded from: https://anon.erda.au.dk/cgi-sid/ls.py?share_id=AO4fCuU3fi Contains annotated images and labels in YOLO format: https://github.com/ultralytics/yolov5/issues/2293 The subfolders insects5Motion (Motion-enhanced images) and insects5Color (RGB images) contain: train/images: *jpg images for training train/labels: *txt YOLO format labels for training val/images: *jpg images for validation val/labels: *txt YOLO format labels for validation The images are collected from different projects, with each camera monitoring different backgrounds of vegetation: GreenRoof project: AC-S?*.jpg (1-5) 5 systems with 10 cameras GreenHouse project: S?_[0|1]*.jpg (1-4) (0-1) 4 systems with 8 cameras Arthropods project: *NAIM??*.jpg (01-60) 48 cameras Arthropods project: *BOR??*.jpg (01-05) 5 cameras PollWatch project: PW_S?_*.jpg (2,3,4) 5 systems with 10 cameras MAMBO project: MB_*.jpg (au, cirad, ecoinn, ufz) four countries (DK, FR, MT, DE) 10 cameras Orchard project: OC_pi*.jpg (8,10,12,15,20,26,28) six cameras The subfolders insects6Motion (Motion-enhanced images) and insects6Color (RGB images) contain: trainACSHQ/images: First iteration of selecting insect images in the ASCHQ recorded video clips trainACSHQ/labels trainACSHQ2/images: Second iteration of selecting insect images in the ASCHQ recorded video clips trainACSHQ2/labels ACSHQ project: PP_S??_*.jpg (0-61) >25 different plants YOLO_yaml: contains the YAML files for training YOLO11. ============================================================ Content of ZIP file for the test dataset (insect detection): ============================================================ detectorTestV6.zip (35GB) The ZIP file can be downloaded from: https://anon.erda.au.dk/cgi-sid/ls.py?share_id=AO4fCuU3fi Color images and Motion-enhanced images (m): The images are collected from different projects, with each camera monitoring different backgrounds of vegetation: GreenHouse project: testGreenH(m): GH_S?*.jpg 8 cameras Heather project: testHeather(m): HE_*.jpg 25 cameras MAMBO project: testMBO(m): MB_*.jpg (ukceh, uva) MAMBO two countries (UK, NL) 5 cameras Orchard project: testOrchard(m): OC_pi*.jpg (10,11,12,13,16,17) 6 cameras with different dates from training data PollWatch project: testPollW(m): PW_S?_*.jpg 5 systems with 10 cameras RT-Impact project: testRTNI(m): RT_*.jpg One camera ASCHQ project: testACSHQ(m): PP_S??_*.jpg >25 different plants YOLO_yaml: contains the yaml files for testing and validating YOLO11. ====================================================================== Content of ZIP files for the training dataset (insect classification): ====================================================================== classifierTrainV6.zip (4.5GB) GreenRoof project: NI 11 taxonomic groups Arthropod project: NI2 69 taxonomic groups MAMBO project: NI2_MAMBO 16 taxonomic groups Orchard project: Orchard 59 taxonomic groups Supplemented images: GBIF 52 taxonomic groups of cropped GBIF images In total 80 taxonomic groups are present in the dataset see details: classifierDatasetV6.txt Every subfolder is named, where space separates names at the three hierarchical levels: L3 labels can contain one space for species and no space for genus Eg: Order Family Species: Hymenoptera_bees Apidae Apis mellifera Eg: Order Family Genus: Hymenoptera_bees Apidae Bombus ================================================================== Content of ZIP files for the test dataset (insect classification): ================================================================== classifierTestV6.zip (202MB) MAMBO and Arthropod projects: NI2_MAMBO 67 taxonomic groups Orchard project: Orchard 44 taxonomic groups RT-Impact project: RTNI 21 taxonomic groups Every subfolder is named, where space separates names at the three hierarchical levels: