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, https://doi.org/10.64898/2026.07.07.736939 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 trainingtrain/labels: *txt - YOLO format labels for trainingval/images: *jpg - images for validationval/labels: *txt - YOLO format labels for validation The images are collected from different projects, with each camera monitoring different backgrounds of vegetation: GreenRoof: AC-S?*.jpg - (1-5) 5 systems with 10 camerasGreenHouse: S?_[0|1]*.jpg - (1-4) (0-1) 4 systems with 8 camerasArthropods: *NAIM??*.jpg - (01-60) 48 camerasArthropods: *BOR??*.jpg - (01-05) 5 camerasPollWatch: PW_S?_*.jpg - (2,3,4) 5 systems with 10 camerasMAMBO: MB_*.jpg - (au, cirad, ecoinn, ufz) four countries (DK, FR, MT, DE) 10 camerasOrchard: 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 clipstrainACSHQ/labelstrainACSHQ2/images: Second iteration of selecting insect images in the ASCHQ recorded video clipstrainACSHQ2/labels ACSHQ: 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: testGreenH(m): GH_S?*.jpg - 8 camerasHeather: testHeather(m): HE_*.jpg - 25 camerasMAMBO: testMBO(m): MB_*.jpg - (ukceh, uva) MAMBO two countries (UK, NL) 5 camerasOrchard: testOrchard(m): OC_pi*.jpg - (10,11,12,13,16,17) 6 cameras with different dates from training dataPollWatch: testPollW(m): PW_S?_*.jpg - 5 systems with 10 camerasRT-Impact: testRTNI(m): RT_*.jpg - one cameraASCHQ: 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: NI - 11 taxonomic groupsArthropod: NI2 - 69 taxonomic groupsMAMBO: NI2_MAMBO - 16 taxonomic groupsOrchard: Orchard - 59 taxonomic groupsSupplemented images: GBIF - 52 taxonomic groups of cropped insect 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:<L1 label> <L2 label> <L3 label> L3 labels can contain one space for species and no space for genusEg: Order Family Species: Hymenoptera_bees Apidae Apis melliferaEg: Order Family Genus: Hymenoptera_bees Apidae Bombus ==================================================================Content of ZIP files for the test dataset (insect classification):================================================================== classifierTestV6.zip (202MB) MAMBO and Arthropod: NI2_MAMBO 67 taxonomic groupsOrchard: Orchard - 44 taxonomic groupsRT-Impact: RTNI - 21 taxonomic groups Every subfolder is named, where space separates names at the three hierarchical levels:<L1 label> <L2 label> <L3 label>