{"id":"W4298009684","doi":"10.18280/ts.390424","title":"Cast Shadow Angle Detection in Morphological Aerial Images Using Faster R-CNN","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Artificial intelligence; Computer vision; Computer science; Pixel; Aerial image; Feature (linguistics); Block (permutation group theory); Object detection; Segmentation; Image (mathematics); Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067696,0.0001381223,0.0001791295,0.0001562349,0.0002300781,0.0001145543,0.0004267777,0.00003485971,0.000403902],"category_scores_gemma":[0.00001481514,0.0001354138,0.00007331864,0.0004347822,0.00003332023,0.0002930646,0.0002873094,0.0002246594,0.000009773564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001349304,"about_ca_system_score_gemma":0.00003666314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001352812,"about_ca_topic_score_gemma":0.00002830207,"domain_scores_codex":[0.998171,0.0004573004,0.0002785539,0.0004024089,0.0003590538,0.0003316641],"domain_scores_gemma":[0.9995576,0.00007945332,0.00008410501,0.0002014959,0.00002527273,0.00005203841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003272115,0.0009928079,0.02449176,0.00003497061,0.00006112568,0.001567488,0.002369877,0.03849099,0.5457461,0.001037295,0.000561871,0.3843185],"study_design_scores_gemma":[0.008463061,0.00278032,0.2470829,0.0000548044,0.00004284629,0.001619617,0.0006224115,0.5998239,0.1227763,0.006250126,0.008438495,0.002045248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5398031,0.00003311997,0.4591497,0.0001322606,0.000456425,0.0001469791,0.00000675431,0.00007606787,0.0001955216],"genre_scores_gemma":[0.9736809,0.000001159087,0.02579986,0.0002767093,0.0001674065,0.00004041464,0.000003441971,0.000009062626,0.00002107296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5613329,"threshold_uncertainty_score":0.5522014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436156848940429,"score_gpt":0.2840316849591933,"score_spread":0.2396701164697891,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}