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machinelearningzuu/
queue_detection

Name: queue_detection
Rating: 2.5 (28 reviews)

generated_from_trainer

microsoft/conditional-detr-resnet-50

finetune

apache-2.0

endpoints_compatible

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queue_detection

This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1249
Map: 0.9571
Map 50: 0.9901
Map 75: 0.9844
Map Small: -1.0
Map Medium: 0.3322
Map Large: 0.9614
Mar 1: 0.5052
Mar 10: 0.9726
Mar 100: 0.9733
Mar Small: -1.0
Mar Medium: 0.3654
Mar Large: 0.9759
Map Cashier: 0.9657
Mar 100 Cashier: 0.9777
Map Cx: 0.9486
Mar 100 Cx: 0.969

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Cashier	Mar 100 Cashier	Map Cx	Mar 100 Cx
No log	1.0	218	1.6511	0.1028	0.2445	0.079	-1.0	0.0	0.1036	0.105	0.4632	0.6421	-1.0	0.0	0.6464	0.1151	0.6993	0.0905	0.5848
No log	2.0	436	1.2010	0.3717	0.5667	0.4222	-1.0	0.0003	0.3749	0.3095	0.6671	0.7472	-1.0	0.0071	0.754	0.4302	0.8025	0.3132	0.6919
2.8665	3.0	654	0.9101	0.5265	0.7814	0.6068	-1.0	0.0	0.5298	0.3399	0.7167	0.7588	-1.0	0.0	0.7642	0.6719	0.8041	0.3811	0.7136
2.8665	4.0	872	0.7512	0.6528	0.9101	0.7828	-1.0	0.0453	0.6571	0.3744	0.7556	0.78	-1.0	0.0577	0.7856	0.7274	0.8003	0.5782	0.7597
0.8677	5.0	1090	0.7338	0.6431	0.9366	0.7893	-1.0	0.0381	0.6472	0.3563	0.7437	0.7641	-1.0	0.1773	0.7672	0.6835	0.7876	0.6026	0.7406
0.8677	6.0	1308	0.6059	0.7148	0.9548	0.8683	0.0	0.0207	0.7205	0.3998	0.783	0.7947	0.0	0.1038	0.8001	0.7552	0.8218	0.6744	0.7677
0.6584	7.0	1526	0.5631	0.7425	0.9666	0.8883	-1.0	0.0418	0.7475	0.4104	0.809	0.8218	-1.0	0.1227	0.8266	0.7871	0.8501	0.698	0.7935
0.6584	8.0	1744	0.5143	0.7573	0.9724	0.9071	-1.0	0.084	0.7621	0.4178	0.8205	0.8286	-1.0	0.1643	0.8332	0.782	0.8544	0.7326	0.8028
0.6584	9.0	1962	0.5286	0.7525	0.9715	0.9094	-1.0	0.0377	0.7577	0.4114	0.8123	0.8209	-1.0	0.0962	0.8261	0.809	0.8672	0.696	0.7747
0.5455	10.0	2180	0.4969	0.7716	0.9762	0.9247	0.0	0.0586	0.7759	0.4247	0.8186	0.8268	0.0	0.1444	0.8306	0.8082	0.8532	0.735	0.8005
0.5455	11.0	2398	0.4934	0.7701	0.97	0.9216	0.0	0.0231	0.779	0.4245	0.8256	0.8403	0.0	0.0676	0.8499	0.8059	0.8694	0.7343	0.8112
0.5034	12.0	2616	0.4560	0.7917	0.9764	0.9315	0.0	0.0278	0.7974	0.4331	0.8416	0.8521	0.0	0.1542	0.8568	0.8305	0.8874	0.753	0.8168
0.5034	13.0	2834	0.4293	0.8	0.9814	0.9299	-1.0	0.0552	0.8042	0.4353	0.8556	0.8627	-1.0	0.15	0.8664	0.85	0.8956	0.7499	0.8297
0.4705	14.0	3052	0.3860	0.8269	0.9848	0.9404	-1.0	0.0996	0.8328	0.4497	0.8701	0.876	-1.0	0.1969	0.881	0.8573	0.9017	0.7965	0.8502
0.4705	15.0	3270	0.4005	0.8193	0.9764	0.9476	0.0	0.0535	0.8277	0.4467	0.8643	0.8703	0.0	0.1806	0.8771	0.8521	0.9021	0.7864	0.8384
0.4705	16.0	3488	0.3911	0.813	0.9827	0.9434	-1.0	0.1665	0.8177	0.4442	0.8633	0.8712	-1.0	0.3929	0.875	0.8513	0.9011	0.7748	0.8413
0.4375	17.0	3706	0.3538	0.8352	0.9871	0.9687	-1.0	0.1586	0.8391	0.4533	0.8801	0.8832	-1.0	0.2423	0.8867	0.8697	0.9096	0.8006	0.8569
0.4375	18.0	3924	0.3740	0.8233	0.9867	0.9561	-1.0	0.1498	0.827	0.4492	0.8731	0.8774	-1.0	0.2333	0.8801	0.8532	0.9028	0.7935	0.852
0.4093	19.0	4142	0.3847	0.8151	0.9831	0.9572	-1.0	0.2685	0.8213	0.4446	0.8628	0.8662	-1.0	0.3286	0.8717	0.863	0.907	0.7672	0.8254
0.4093	20.0	4360	0.3744	0.8148	0.9869	0.9585	-1.0	0.109	0.8196	0.4464	0.8659	0.8716	-1.0	0.1458	0.8762	0.8403	0.8967	0.7894	0.8466
0.4047	21.0	4578	0.3521	0.8355	0.9879	0.9669	-1.0	0.1021	0.8414	0.4537	0.8797	0.8847	-1.0	0.1773	0.8887	0.8627	0.9097	0.8083	0.8597
0.4047	22.0	4796	0.3752	0.8357	0.9798	0.9508	0.0	0.1229	0.8447	0.4572	0.8752	0.8787	0.0	0.1676	0.8874	0.866	0.9047	0.8054	0.8527
0.3804	23.0	5014	0.3472	0.8435	0.9865	0.9601	-1.0	0.1067	0.848	0.4574	0.8844	0.8893	-1.0	0.2214	0.8934	0.8729	0.9158	0.8142	0.8627
0.3804	24.0	5232	0.3095	0.8554	0.9881	0.9711	-1.0	0.0987	0.8604	0.4696	0.8963	0.9001	-1.0	0.1727	0.9042	0.8888	0.9297	0.8221	0.8706
0.3804	25.0	5450	0.3470	0.8389	0.9882	0.9602	-1.0	0.1231	0.843	0.4527	0.8786	0.881	-1.0	0.175	0.8858	0.8827	0.9194	0.7952	0.8426
0.3534	26.0	5668	0.3446	0.8281	0.9889	0.9618	0.0	0.1064	0.8336	0.4528	0.8751	0.8784	0.0	0.22	0.8828	0.8574	0.9055	0.7988	0.8512
0.3534	27.0	5886	0.3234	0.844	0.9881	0.9593	-1.0	0.1256	0.8493	0.4591	0.8856	0.8881	-1.0	0.18	0.8933	0.8751	0.9161	0.8129	0.8601
0.3461	28.0	6104	0.2976	0.862	0.9881	0.9588	-1.0	0.1683	0.8664	0.47	0.8979	0.9015	-1.0	0.2083	0.9054	0.8989	0.9344	0.825	0.8685
0.3461	29.0	6322	0.2960	0.8607	0.9891	0.9744	-1.0	0.1628	0.8649	0.4662	0.9	0.9031	-1.0	0.26	0.9058	0.891	0.9311	0.8304	0.875
0.344	30.0	6540	0.3070	0.8599	0.9881	0.9694	-1.0	0.1578	0.8648	0.4628	0.8975	0.8992	-1.0	0.2	0.9035	0.8877	0.9233	0.832	0.8751
0.344	31.0	6758	0.3176	0.852	0.9864	0.97	0.0	0.0895	0.859	0.462	0.8915	0.8934	0.0	0.1538	0.8996	0.8791	0.9194	0.8249	0.8675
0.344	32.0	6976	0.3198	0.8478	0.9881	0.963	-1.0	0.1354	0.8527	0.4637	0.8891	0.8919	-1.0	0.2143	0.8967	0.8859	0.925	0.8097	0.8588
0.3308	33.0	7194	0.3002	0.8564	0.989	0.9708	-1.0	0.1237	0.8609	0.463	0.8954	0.8969	-1.0	0.1636	0.9011	0.8887	0.9251	0.8241	0.8688
0.3308	34.0	7412	0.2953	0.8659	0.9891	0.9737	-1.0	0.1593	0.8716	0.471	0.9014	0.9033	-1.0	0.2393	0.9073	0.8934	0.9261	0.8385	0.8805
0.321	35.0	7630	0.2858	0.8733	0.9873	0.9703	-1.0	0.1392	0.8801	0.4696	0.9071	0.9098	-1.0	0.1861	0.916	0.8998	0.9346	0.8468	0.8849
0.321	36.0	7848	0.2604	0.8845	0.9889	0.9716	-1.0	0.1392	0.8895	0.4769	0.9175	0.9195	-1.0	0.1818	0.9237	0.9109	0.9427	0.858	0.8963
0.3074	37.0	8066	0.3035	0.8609	0.987	0.9704	0.0	0.096	0.8695	0.4672	0.8995	0.9005	0.0	0.1733	0.9077	0.8853	0.9234	0.8365	0.8777
0.3074	38.0	8284	0.2746	0.8641	0.9894	0.977	-1.0	0.0994	0.8686	0.4711	0.9035	0.9053	-1.0	0.2167	0.9083	0.8866	0.9246	0.8416	0.886
0.2989	39.0	8502	0.2851	0.864	0.9894	0.9684	-1.0	0.1414	0.8703	0.4702	0.9033	0.904	-1.0	0.24	0.9083	0.8873	0.9265	0.8407	0.8815
0.2989	40.0	8720	0.2456	0.8843	0.9896	0.9771	-1.0	0.1205	0.8897	0.4798	0.9172	0.9178	-1.0	0.2062	0.923	0.9189	0.946	0.8496	0.8895
0.2989	41.0	8938	0.2567	0.8777	0.9897	0.9742	-1.0	0.162	0.8843	0.4771	0.9134	0.9136	-1.0	0.2094	0.9188	0.8967	0.9335	0.8586	0.8936
0.2782	42.0	9156	0.2444	0.8858	0.9897	0.9779	-1.0	0.2728	0.8918	0.4768	0.9187	0.9189	-1.0	0.3885	0.923	0.9172	0.9496	0.8544	0.8882
0.2782	43.0	9374	0.2389	0.8879	0.9899	0.9793	-1.0	0.1582	0.8934	0.4798	0.9199	0.9204	-1.0	0.2	0.9249	0.9142	0.9448	0.8617	0.896
0.2694	44.0	9592	0.2401	0.8962	0.9896	0.9783	-1.0	0.1936	0.9007	0.481	0.9255	0.9263	-1.0	0.2227	0.93	0.9183	0.9471	0.8742	0.9055
0.2694	45.0	9810	0.2550	0.8906	0.9895	0.9801	0.0	0.224	0.8969	0.4784	0.9219	0.923	0.0	0.2625	0.9284	0.9153	0.9463	0.8659	0.8996
0.2592	46.0	10028	0.2364	0.8963	0.9893	0.9776	0.0	0.1886	0.9016	0.4845	0.9282	0.9291	0.0	0.2615	0.9333	0.9224	0.9512	0.8703	0.9069
0.2592	47.0	10246	0.2435	0.8838	0.9871	0.9719	0.0	0.215	0.889	0.4792	0.92	0.921	0.0	0.2833	0.9246	0.9062	0.939	0.8614	0.903
0.2592	48.0	10464	0.2241	0.9014	0.9899	0.9836	-1.0	0.2242	0.9065	0.4842	0.9326	0.9333	-1.0	0.25	0.9366	0.9184	0.9493	0.8844	0.9172
0.25	49.0	10682	0.2348	0.8975	0.9899	0.9773	0.0	0.3675	0.9037	0.483	0.9308	0.931	0.0	0.39	0.9369	0.9166	0.9463	0.8784	0.9156
0.25	50.0	10900	0.2374	0.895	0.9896	0.9734	-1.0	0.2121	0.8994	0.4789	0.9266	0.9274	-1.0	0.3	0.9325	0.9135	0.943	0.8765	0.9118
0.2505	51.0	11118	0.1953	0.9169	0.99	0.9895	-1.0	0.2485	0.9218	0.4934	0.9467	0.9472	-1.0	0.2833	0.9498	0.9326	0.9596	0.9012	0.9348
0.2505	52.0	11336	0.2362	0.9006	0.99	0.9787	-1.0	0.2266	0.9066	0.4818	0.9303	0.931	-1.0	0.3423	0.9359	0.9319	0.9552	0.8694	0.9069
0.2291	53.0	11554	0.2253	0.9052	0.9891	0.9735	-1.0	0.1798	0.9126	0.4885	0.9326	0.9339	-1.0	0.2225	0.9403	0.9298	0.9528	0.8807	0.9151
0.2291	54.0	11772	0.2214	0.9093	0.9898	0.9822	-1.0	0.2074	0.9132	0.4883	0.9365	0.9372	-1.0	0.2192	0.9416	0.9322	0.9572	0.8864	0.9172
0.2291	55.0	11990	0.2088	0.9133	0.99	0.9848	-1.0	0.2959	0.918	0.4882	0.9416	0.9417	-1.0	0.3333	0.9437	0.934	0.9586	0.8926	0.9247
0.2323	56.0	12208	0.2029	0.9127	0.9897	0.9789	0.0	0.1756	0.9168	0.4915	0.9394	0.9406	0.0	0.24	0.9455	0.9382	0.961	0.8872	0.9201
0.2323	57.0	12426	0.2137	0.9074	0.99	0.9849	-1.0	0.2304	0.9101	0.488	0.9359	0.9362	-1.0	0.25	0.9401	0.9335	0.9573	0.8813	0.9151
0.2114	58.0	12644	0.1903	0.9231	0.9899	0.9841	-1.0	0.1404	0.9299	0.4932	0.9463	0.9466	-1.0	0.2077	0.9513	0.947	0.9664	0.8992	0.9269
0.2114	59.0	12862	0.1921	0.9211	0.99	0.9841	0.0	0.2628	0.9254	0.4942	0.9439	0.945	0.0	0.305	0.9487	0.9453	0.9645	0.8969	0.9255
0.2076	60.0	13080	0.1737	0.9335	0.99	0.984	-1.0	0.2575	0.9382	0.4982	0.9559	0.9563	-1.0	0.3	0.959	0.9592	0.975	0.9078	0.9376
0.2076	61.0	13298	0.1795	0.9272	0.99	0.9807	-1.0	0.2635	0.9305	0.4958	0.9502	0.9513	-1.0	0.31	0.9548	0.9488	0.9661	0.9057	0.9365
0.2086	62.0	13516	0.1887	0.9266	0.9901	0.9847	0.0	0.2762	0.9321	0.493	0.95	0.9507	0.0	0.3083	0.9547	0.9502	0.969	0.9029	0.9323
0.2086	63.0	13734	0.1734	0.9348	0.9901	0.9859	-1.0	0.2761	0.9397	0.4978	0.9581	0.9588	-1.0	0.315	0.9613	0.9517	0.9718	0.9178	0.9458
0.2086	64.0	13952	0.1788	0.9374	0.9899	0.9843	0.0	0.2255	0.9417	0.4992	0.9589	0.9592	0.0	0.2417	0.9643	0.9573	0.9759	0.9174	0.9424
0.1951	65.0	14170	0.1665	0.9374	0.99	0.985	-1.0	0.2792	0.9424	0.4987	0.9602	0.9607	-1.0	0.2909	0.9638	0.9537	0.9734	0.9212	0.948
0.1951	66.0	14388	0.1813	0.933	0.99	0.9834	0.0	0.2715	0.9369	0.4979	0.9549	0.9558	0.0	0.2944	0.9601	0.9521	0.9727	0.9138	0.9388
0.1904	67.0	14606	0.1797	0.9347	0.9894	0.9798	0.0	0.2227	0.9389	0.4961	0.9534	0.9547	0.0	0.2346	0.9602	0.9585	0.9737	0.9109	0.9357
0.1904	68.0	14824	0.1792	0.9321	0.9897	0.984	0.0	0.2146	0.9378	0.4954	0.9523	0.9532	0.0	0.2633	0.9582	0.9523	0.9697	0.9119	0.9368
0.186	69.0	15042	0.1472	0.9461	0.9901	0.9843	-1.0	0.2637	0.9524	0.5018	0.9665	0.9673	-1.0	0.3143	0.9708	0.9595	0.9774	0.9327	0.9573
0.186	70.0	15260	0.1736	0.931	0.9899	0.9842	-1.0	0.269	0.9352	0.4961	0.9538	0.9543	-1.0	0.2821	0.9581	0.9443	0.9654	0.9178	0.9432
0.186	71.0	15478	0.1550	0.9481	0.99	0.9835	-1.0	0.2275	0.9532	0.5019	0.9671	0.9678	-1.0	0.3321	0.9723	0.9601	0.9771	0.9361	0.9584
0.178	72.0	15696	0.1609	0.9455	0.99	0.9849	-1.0	0.2252	0.951	0.5004	0.9642	0.9652	-1.0	0.2731	0.969	0.9614	0.9768	0.9296	0.9535
0.178	73.0	15914	0.1482	0.9416	0.9901	0.9843	0.0	0.2421	0.947	0.5025	0.9627	0.9639	0.0	0.2967	0.9684	0.9554	0.9751	0.9278	0.9527
0.1822	74.0	16132	0.1403	0.9471	0.995	0.9832	-1.0	0.6037	0.9486	0.5016	0.9665	0.9675	-1.0	0.7182	0.969	0.9657	0.9787	0.9285	0.9562
0.1822	75.0	16350	0.1673	0.9424	0.9901	0.9845	-1.0	0.2102	0.9452	0.4995	0.9619	0.9628	-1.0	0.3667	0.9656	0.9615	0.976	0.9232	0.9496
0.1707	76.0	16568	0.1508	0.9457	0.9885	0.9816	-1.0	0.1736	0.9543	0.5016	0.9636	0.9641	-1.0	0.1971	0.9705	0.9577	0.9745	0.9338	0.9538
0.1707	77.0	16786	0.1395	0.9501	0.9898	0.9839	-1.0	0.1955	0.9581	0.5034	0.9681	0.9687	-1.0	0.2324	0.9745	0.9667	0.9809	0.9334	0.9566
0.1655	78.0	17004	0.1451	0.9502	0.99	0.9887	0.0	0.3398	0.9525	0.5042	0.97	0.9702	0.0	0.3667	0.9726	0.9611	0.9771	0.9393	0.9632
0.1655	79.0	17222	0.1654	0.9385	0.9949	0.9889	-1.0	0.5696	0.9406	0.4997	0.9592	0.9599	-1.0	0.6625	0.9627	0.9582	0.9724	0.9188	0.9474
0.1655	80.0	17440	0.1388	0.9536	0.99	0.9844	-1.0	0.2026	0.9602	0.5051	0.9689	0.9694	-1.0	0.2536	0.9739	0.9647	0.979	0.9425	0.9599
0.164	81.0	17658	0.1296	0.957	0.9901	0.9894	-1.0	0.2818	0.9625	0.505	0.9723	0.9729	-1.0	0.3042	0.9767	0.9681	0.9801	0.946	0.9657
0.164	82.0	17876	0.1309	0.9519	0.9901	0.9847	-1.0	0.2714	0.9584	0.5047	0.9707	0.9709	-1.0	0.3	0.9746	0.9635	0.9791	0.9403	0.9627
0.1556	83.0	18094	0.1295	0.9564	0.9901	0.9839	-1.0	0.2769	0.9594	0.505	0.9729	0.9731	-1.0	0.2833	0.9767	0.9644	0.981	0.9483	0.9653
0.1556	84.0	18312	0.1259	0.9572	0.9899	0.9846	0.0	0.2512	0.963	0.5059	0.973	0.9736	0.0	0.2786	0.9783	0.9671	0.9812	0.9473	0.966
0.1436	85.0	18530	0.1465	0.9517	0.99	0.9842	-1.0	0.2796	0.9544	0.5025	0.9679	0.9685	-1.0	0.3	0.972	0.9611	0.9762	0.9423	0.9608
0.1436	86.0	18748	0.1230	0.9577	0.9899	0.9847	-1.0	0.3562	0.9618	0.5064	0.9733	0.9735	-1.0	0.3773	0.9755	0.9689	0.9826	0.9465	0.9644
0.1436	87.0	18966	0.1319	0.9608	0.99	0.9823	0.0	0.3379	0.967	0.506	0.9741	0.9752	0.0	0.38	0.9805	0.9695	0.9814	0.952	0.969
0.1514	88.0	19184	0.1253	0.9554	0.9901	0.985	0.0	0.262	0.9628	0.5063	0.9725	0.9727	0.0	0.3231	0.9765	0.9624	0.9782	0.9484	0.9673
0.1514	89.0	19402	0.1261	0.9561	0.9901	0.985	-1.0	0.2761	0.9602	0.5057	0.9719	0.9722	-1.0	0.3125	0.9753	0.9658	0.9791	0.9464	0.9653
0.1481	90.0	19620	0.1187	0.9579	0.9901	0.9901	-1.0	0.5624	0.9604	0.5069	0.9752	0.9754	-1.0	0.5875	0.9769	0.9669	0.9809	0.9489	0.9699
0.1481	91.0	19838	0.1352	0.9513	0.9901	0.9836	0.0	0.3876	0.9532	0.5016	0.97	0.9704	0.0	0.515	0.9733	0.9618	0.9774	0.9408	0.9634
0.1443	92.0	20056	0.1253	0.9586	0.9901	0.9846	-1.0	0.2831	0.9643	0.5055	0.9749	0.9753	-1.0	0.3292	0.9782	0.9679	0.9818	0.9494	0.9688
0.1443	93.0	20274	0.1259	0.9598	0.99	0.9845	-1.0	0.3228	0.9639	0.5055	0.9736	0.9745	-1.0	0.3636	0.9768	0.9707	0.9823	0.9489	0.9667
0.1443	94.0	20492	0.1257	0.9639	0.99	0.985	-1.0	0.3265	0.9672	0.5055	0.9766	0.9769	-1.0	0.3625	0.9793	0.972	0.9831	0.9557	0.9707
0.1447	95.0	20710	0.1168	0.9606	0.9901	0.9842	0.0	0.2617	0.9662	0.5064	0.9759	0.9762	0.0	0.3	0.9801	0.9706	0.9836	0.9506	0.9688
0.1447	96.0	20928	0.1196	0.9625	0.99	0.9847	0.0	0.3062	0.9677	0.5078	0.9769	0.9776	0.0	0.3273	0.9809	0.9711	0.9844	0.9538	0.9707
0.1478	97.0	21146	0.1220	0.9558	0.9901	0.9843	-1.0	0.2922	0.9596	0.5057	0.9729	0.9735	-1.0	0.3071	0.9771	0.9661	0.981	0.9455	0.966
0.1478	98.0	21364	0.1339	0.9503	0.9872	0.9788	0.0	0.2824	0.9558	0.5034	0.9663	0.9672	0.0	0.375	0.9717	0.9655	0.9778	0.9351	0.9565
0.1421	99.0	21582	0.1183	0.9625	0.9901	0.9845	-1.0	0.304	0.9682	0.509	0.9765	0.9771	-1.0	0.3875	0.9807	0.9736	0.9847	0.9514	0.9695
0.1421	100.0	21800	0.1249	0.9571	0.9901	0.9844	-1.0	0.3322	0.9614	0.5052	0.9726	0.9733	-1.0	0.3654	0.9759	0.9657	0.9777	0.9486	0.969

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

machinelearningzuu/queue_detection

queue_detection

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

machinelearningzuu/
queue_detection