{"id":"W2802368751","doi":"10.1109/wacv.2018.00200","title":"ByLabel: A Boundary Based Semi-Automatic Image Annotation Tool","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Annotation; Boundary (topology); Computer science; Pixel; Automatic image annotation; Artificial intelligence; Image (mathematics); Computer vision; Enhanced Data Rates for GSM Evolution; Pattern recognition (psychology); Image retrieval; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002336742,0.0001275785,0.0001216839,0.0001045661,0.0001663559,0.0002757693,0.0004980347,0.00004464352,0.0001491178],"category_scores_gemma":[0.0001328734,0.0001092906,0.00004785592,0.000526357,0.000120632,0.00149064,0.0001215583,0.00008000575,0.0002877336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004274275,"about_ca_system_score_gemma":0.00009890077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000793152,"about_ca_topic_score_gemma":0.000002298917,"domain_scores_codex":[0.9989427,0.00004247917,0.0002158121,0.0003117175,0.0002426598,0.0002446206],"domain_scores_gemma":[0.9990132,0.0000805106,0.00007301511,0.000557499,0.0002218015,0.00005393538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001655663,0.0001845356,0.0002375878,0.00009837249,0.00001815079,0.0000509306,0.0004690062,0.000001449962,0.09381753,0.01875945,0.03975553,0.8465909],"study_design_scores_gemma":[0.0004120172,0.0004604657,0.0009916758,0.00005842234,0.000006130481,0.00001513997,0.000012545,0.3040012,0.6397858,0.02579745,0.02808826,0.0003709374],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005032391,0.00004101267,0.9852555,0.0004803058,0.0001103514,0.0001938366,0.000001507204,0.001411258,0.007473796],"genre_scores_gemma":[0.2127203,0.000005979667,0.7839708,0.002515727,0.00008222697,0.00001985755,0.000003756721,0.00001253192,0.0006688252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.84622,"threshold_uncertainty_score":0.4456741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103989858693329,"score_gpt":0.2896160727128892,"score_spread":0.2785761741259559,"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."}}