queue_detection_cctv

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: 0.1291
• Map: 0.9532
• Map 50: 0.9901
• Map 75: 0.9845
• Map Small: -1.0
• Map Medium: 0.3203
• Map Large: 0.9578
• Mar 1: 0.5044
• Mar 10: 0.9715
• Mar 100: 0.972
• Mar Small: -1.0
• Mar Medium: 0.3538
• Mar Large: 0.9747
• Map Cashier: 0.9618
• Mar 100 Cashier: 0.9775
• Map Cx: 0.9447
• Mar 100 Cx: 0.9664

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	1.3927	0.1975	0.3459	0.1995	-1.0	0.0	0.1988	0.2409	0.5283	0.7011	-1.0	0.0	0.7055	0.2115	0.8043	0.1834	0.5979
No log	2.0	436	0.9964	0.5247	0.8011	0.591	-1.0	0.0079	0.5292	0.3316	0.6966	0.7387	-1.0	0.0071	0.7453	0.5772	0.8086	0.4723	0.6688
2.7418	3.0	654	0.8535	0.6031	0.9058	0.6954	-1.0	0.0349	0.6069	0.3603	0.7079	0.733	-1.0	0.2	0.7362	0.6576	0.769	0.5485	0.6969
2.7418	4.0	872	0.7406	0.6499	0.9356	0.752	-1.0	0.0479	0.6543	0.3756	0.7387	0.7586	-1.0	0.0923	0.7634	0.7052	0.7953	0.5947	0.7219
0.8155	5.0	1090	0.6721	0.6731	0.9516	0.8113	-1.0	0.0249	0.6773	0.3819	0.7501	0.7654	-1.0	0.0455	0.7701	0.7451	0.8203	0.601	0.7105
0.8155	6.0	1308	0.5804	0.7244	0.9632	0.8738	0.0	0.0712	0.7288	0.4038	0.7882	0.8023	0.0	0.1731	0.8066	0.7818	0.8419	0.6671	0.7627
0.6668	7.0	1526	0.5430	0.7484	0.9667	0.9041	-1.0	0.076	0.7527	0.417	0.8027	0.813	-1.0	0.2205	0.8171	0.8068	0.8602	0.69	0.7658
0.6668	8.0	1744	0.5524	0.7361	0.9691	0.8958	-1.0	0.0273	0.7416	0.4045	0.7839	0.7933	-1.0	0.1286	0.7981	0.7845	0.8274	0.6877	0.7592
0.6668	9.0	1962	0.5359	0.7415	0.9737	0.901	-1.0	0.0845	0.7462	0.4112	0.7999	0.8044	-1.0	0.1462	0.8088	0.7844	0.8376	0.6986	0.7713
0.5735	10.0	2180	0.5154	0.7497	0.9744	0.907	0.0	0.0368	0.7538	0.414	0.8042	0.8093	0.0	0.1333	0.813	0.8085	0.86	0.6909	0.7586
0.5735	11.0	2398	0.4543	0.7824	0.9754	0.9337	0.0	0.0709	0.7908	0.4307	0.8323	0.8368	0.0	0.1794	0.8449	0.8312	0.8765	0.7336	0.7972
0.5189	12.0	2616	0.4802	0.7679	0.9769	0.9274	0.0	0.1201	0.7724	0.426	0.8197	0.825	0.0	0.1917	0.8291	0.7985	0.85	0.7374	0.8
0.5189	13.0	2834	0.4306	0.7906	0.9825	0.9332	-1.0	0.0708	0.7941	0.435	0.8394	0.8448	-1.0	0.23	0.8474	0.8474	0.889	0.7339	0.8006
0.4874	14.0	3052	0.4660	0.7649	0.9818	0.9264	-1.0	0.0504	0.7713	0.4219	0.8155	0.8222	-1.0	0.0875	0.8288	0.805	0.8527	0.7248	0.7917
0.4874	15.0	3270	0.4392	0.7867	0.9773	0.9278	0.0	0.0256	0.7961	0.4372	0.8336	0.8385	0.0	0.1028	0.8466	0.8243	0.8725	0.7492	0.8045
0.4874	16.0	3488	0.4178	0.8018	0.9847	0.9355	-1.0	0.2037	0.8061	0.4387	0.8493	0.8551	-1.0	0.3714	0.8589	0.8394	0.8881	0.7641	0.822
0.4646	17.0	3706	0.3859	0.8138	0.9838	0.9502	-1.0	0.1217	0.8189	0.4459	0.8584	0.863	-1.0	0.2038	0.8669	0.8508	0.8956	0.7769	0.8303
0.4646	18.0	3924	0.4041	0.7987	0.9822	0.9457	-1.0	0.097	0.8032	0.4378	0.8486	0.8518	-1.0	0.1611	0.8551	0.8323	0.881	0.7652	0.8226
0.4317	19.0	4142	0.4013	0.8086	0.9838	0.9442	-1.0	0.1816	0.814	0.4412	0.8513	0.8557	-1.0	0.2571	0.8605	0.8522	0.8919	0.765	0.8195
0.4317	20.0	4360	0.3869	0.8123	0.9823	0.9388	-1.0	0.1597	0.8163	0.4475	0.8579	0.8617	-1.0	0.2042	0.8653	0.8542	0.896	0.7705	0.8274
0.4215	21.0	4578	0.3721	0.816	0.9864	0.9536	-1.0	0.1206	0.8198	0.4478	0.8598	0.863	-1.0	0.2727	0.8655	0.8607	0.9003	0.7713	0.8258
0.4215	22.0	4796	0.3777	0.8245	0.9806	0.9507	0.0	0.1034	0.8324	0.4537	0.8621	0.8649	0.0	0.2118	0.8724	0.8651	0.9012	0.7839	0.8287
0.3925	23.0	5014	0.3387	0.8411	0.9872	0.9577	-1.0	0.1184	0.845	0.4593	0.8775	0.8799	-1.0	0.2429	0.8835	0.8813	0.9153	0.8008	0.8444
0.3925	24.0	5232	0.3234	0.842	0.9887	0.9671	-1.0	0.1229	0.8463	0.4604	0.8794	0.8812	-1.0	0.1864	0.885	0.8736	0.909	0.8104	0.8534
0.3925	25.0	5450	0.3463	0.8356	0.9869	0.9556	-1.0	0.0775	0.8411	0.4552	0.8769	0.8793	-1.0	0.1929	0.8838	0.8788	0.913	0.7925	0.8456
0.3676	26.0	5668	0.3170	0.846	0.988	0.9666	0.0	0.1172	0.8515	0.4603	0.886	0.8872	0.0	0.285	0.8907	0.8831	0.9182	0.8089	0.8562
0.3676	27.0	5886	0.3552	0.8246	0.9832	0.9545	-1.0	0.13	0.8285	0.4535	0.8704	0.8745	-1.0	0.2367	0.8785	0.8559	0.9005	0.7932	0.8484
0.3669	28.0	6104	0.3342	0.8427	0.9876	0.9665	-1.0	0.1369	0.8468	0.4585	0.8813	0.8843	-1.0	0.2625	0.8874	0.8587	0.898	0.8267	0.8707
0.3669	29.0	6322	0.3033	0.854	0.9892	0.9687	-1.0	0.1795	0.8572	0.4663	0.8954	0.8968	-1.0	0.3	0.8991	0.8813	0.9193	0.8268	0.8744
0.349	30.0	6540	0.3099	0.8515	0.9863	0.9676	-1.0	0.1251	0.8571	0.4666	0.8917	0.8936	-1.0	0.2	0.8978	0.8868	0.9261	0.8162	0.8611
0.349	31.0	6758	0.3247	0.842	0.9884	0.963	0.0	0.1145	0.8491	0.4607	0.8828	0.8854	0.0	0.1462	0.8916	0.8704	0.9104	0.8137	0.8605
0.349	32.0	6976	0.2943	0.8529	0.9887	0.9651	-1.0	0.1639	0.8587	0.4683	0.8916	0.8949	-1.0	0.225	0.8997	0.89	0.9246	0.8158	0.8653
0.3378	33.0	7194	0.2923	0.8605	0.989	0.9695	-1.0	0.1212	0.8657	0.4687	0.8985	0.9006	-1.0	0.2136	0.9042	0.8893	0.9257	0.8317	0.8756
0.3378	34.0	7412	0.2878	0.8616	0.9895	0.9673	-1.0	0.1464	0.8665	0.4712	0.897	0.899	-1.0	0.2	0.9036	0.8907	0.9246	0.8325	0.8734
0.3206	35.0	7630	0.3342	0.837	0.9866	0.9674	-1.0	0.1634	0.8423	0.4584	0.8772	0.8802	-1.0	0.2611	0.8844	0.8684	0.906	0.8057	0.8544
0.3206	36.0	7848	0.2796	0.8713	0.989	0.9716	-1.0	0.1054	0.8759	0.4699	0.9066	0.9084	-1.0	0.15	0.9128	0.9052	0.9373	0.8373	0.8795
0.3152	37.0	8066	0.2894	0.8667	0.987	0.9746	0.0	0.1359	0.8743	0.4716	0.9022	0.9037	0.0	0.1667	0.9109	0.8966	0.9309	0.8367	0.8765
0.3152	38.0	8284	0.2641	0.8744	0.9894	0.9722	-1.0	0.1413	0.8793	0.4727	0.9132	0.9148	-1.0	0.2333	0.9178	0.8909	0.9305	0.858	0.8992
0.3082	39.0	8502	0.2834	0.8703	0.9873	0.9702	-1.0	0.132	0.8764	0.473	0.9082	0.9128	-1.0	0.2633	0.9168	0.8988	0.9347	0.8417	0.891
0.3082	40.0	8720	0.2774	0.8655	0.9897	0.9738	-1.0	0.2021	0.8711	0.4694	0.9025	0.9043	-1.0	0.275	0.9081	0.8971	0.9314	0.8339	0.8772
0.3082	41.0	8938	0.2935	0.8598	0.988	0.9699	-1.0	0.0999	0.8666	0.4688	0.8961	0.8976	-1.0	0.15	0.9037	0.8889	0.9255	0.8308	0.8697
0.3078	42.0	9156	0.2746	0.868	0.9895	0.9777	-1.0	0.2159	0.8738	0.4712	0.9021	0.9032	-1.0	0.275	0.9079	0.9016	0.933	0.8343	0.8734
0.3078	43.0	9374	0.2662	0.8731	0.9897	0.9798	-1.0	0.1849	0.8794	0.4752	0.9083	0.9091	-1.0	0.2	0.9136	0.888	0.9206	0.8582	0.8975
0.2898	44.0	9592	0.2564	0.8824	0.9868	0.9732	-1.0	0.1263	0.8871	0.4775	0.9148	0.9165	-1.0	0.15	0.9211	0.9076	0.9377	0.8571	0.8954
0.2898	45.0	9810	0.2813	0.8753	0.9876	0.977	0.0	0.1325	0.8817	0.4714	0.911	0.9123	0.0	0.2167	0.9179	0.9042	0.9381	0.8464	0.8865
0.2758	46.0	10028	0.2633	0.8786	0.9872	0.9719	0.0	0.1841	0.8854	0.4758	0.9164	0.9177	0.0	0.2615	0.9218	0.9012	0.9374	0.856	0.898
0.2758	47.0	10246	0.2479	0.8795	0.9895	0.9765	0.0	0.2066	0.8849	0.4765	0.9146	0.9171	0.0	0.275	0.9207	0.9114	0.9448	0.8476	0.8893
0.2758	48.0	10464	0.2373	0.8894	0.9897	0.9799	-1.0	0.1994	0.8939	0.4795	0.9253	0.926	-1.0	0.2545	0.9293	0.9076	0.9431	0.8713	0.909
0.2708	49.0	10682	0.2538	0.8846	0.9893	0.9793	0.0	0.2669	0.8903	0.4799	0.9213	0.9224	0.0	0.315	0.9284	0.9052	0.9383	0.8641	0.9065
0.2708	50.0	10900	0.2445	0.8919	0.9896	0.9745	-1.0	0.2193	0.8972	0.4765	0.9228	0.925	-1.0	0.3969	0.9294	0.9239	0.9511	0.8599	0.8989
0.2595	51.0	11118	0.2110	0.9037	0.99	0.9845	-1.0	0.2267	0.9093	0.4882	0.9339	0.9346	-1.0	0.25	0.9374	0.9299	0.9574	0.8776	0.9117
0.2595	52.0	11336	0.2374	0.897	0.99	0.9792	-1.0	0.2066	0.9029	0.48	0.9267	0.9285	-1.0	0.3179	0.9335	0.9257	0.9531	0.8684	0.9039
0.2378	53.0	11554	0.2517	0.8826	0.9894	0.9716	-1.0	0.1494	0.8901	0.4782	0.9162	0.9188	-1.0	0.2475	0.9242	0.9152	0.9455	0.8501	0.892
0.2378	54.0	11772	0.2260	0.8971	0.9899	0.9771	-1.0	0.1848	0.9029	0.4825	0.9304	0.9315	-1.0	0.2077	0.936	0.9255	0.9544	0.8687	0.9087
0.2378	55.0	11990	0.2144	0.9118	0.9899	0.9844	-1.0	0.2843	0.9158	0.4875	0.9417	0.9435	-1.0	0.3333	0.9456	0.9351	0.9608	0.8885	0.9263
0.2494	56.0	12208	0.2028	0.9107	0.9897	0.9814	0.0	0.1831	0.9168	0.4906	0.9395	0.9414	0.0	0.22	0.9466	0.935	0.9585	0.8864	0.9243
0.2494	57.0	12426	0.2341	0.8897	0.9897	0.9812	-1.0	0.1783	0.8932	0.4822	0.9242	0.926	-1.0	0.2154	0.9303	0.9168	0.948	0.8625	0.9039
0.2228	58.0	12644	0.2075	0.9084	0.9899	0.9792	-1.0	0.1741	0.9142	0.4899	0.9375	0.9379	-1.0	0.2308	0.9421	0.932	0.9581	0.8849	0.9177
0.2228	59.0	12862	0.2059	0.9096	0.9896	0.9803	0.0	0.2969	0.9138	0.4893	0.9375	0.9395	0.0	0.31	0.9431	0.9311	0.957	0.8881	0.9219
0.2218	60.0	13080	0.2028	0.9136	0.9899	0.984	-1.0	0.2316	0.9164	0.4875	0.9408	0.9416	-1.0	0.295	0.9442	0.9433	0.9654	0.884	0.9177
0.2218	61.0	13298	0.2013	0.911	0.99	0.9786	-1.0	0.253	0.9158	0.4904	0.9388	0.94	-1.0	0.3	0.9435	0.9325	0.9572	0.8895	0.9228
0.2238	62.0	13516	0.2033	0.9134	0.9899	0.9825	0.0	0.2228	0.9199	0.4896	0.9426	0.9438	0.0	0.2667	0.9484	0.9367	0.9624	0.8902	0.9252
0.2238	63.0	13734	0.1893	0.9216	0.99	0.9836	-1.0	0.1905	0.9271	0.4942	0.9509	0.9512	-1.0	0.235	0.9546	0.9403	0.9664	0.9029	0.9361
0.2238	64.0	13952	0.1893	0.9267	0.9898	0.9835	0.0	0.2342	0.9317	0.4957	0.9524	0.9536	0.0	0.2583	0.9585	0.9491	0.971	0.9043	0.9363
0.2131	65.0	14170	0.1769	0.9322	0.9901	0.9847	-1.0	0.2413	0.9349	0.4982	0.9554	0.9559	-1.0	0.2864	0.959	0.9463	0.9673	0.9181	0.9445
0.2131	66.0	14388	0.1848	0.9312	0.9898	0.9842	0.0	0.2901	0.9358	0.4973	0.9545	0.9551	0.0	0.425	0.9591	0.9517	0.9709	0.9107	0.9394
0.2038	67.0	14606	0.1809	0.9277	0.9899	0.9815	0.0	0.2354	0.9329	0.4951	0.9524	0.9539	0.0	0.2846	0.9586	0.9441	0.9668	0.9112	0.9411
0.2038	68.0	14824	0.1831	0.9178	0.9899	0.98	0.0	0.1728	0.9256	0.4922	0.9472	0.9483	0.0	0.23	0.9538	0.9396	0.9646	0.896	0.9319
0.1995	69.0	15042	0.1631	0.934	0.9901	0.9861	-1.0	0.2804	0.9405	0.4982	0.9574	0.9583	-1.0	0.325	0.9615	0.954	0.9729	0.914	0.9438
0.1995	70.0	15260	0.1685	0.9293	0.9899	0.9846	-1.0	0.2397	0.935	0.4964	0.9546	0.9553	-1.0	0.2714	0.9593	0.948	0.9698	0.9105	0.9408
0.1995	71.0	15478	0.1629	0.9371	0.9901	0.9842	-1.0	0.2541	0.942	0.498	0.9603	0.9609	-1.0	0.4964	0.965	0.954	0.9741	0.9202	0.9477
0.1877	72.0	15696	0.1606	0.944	0.9901	0.9846	-1.0	0.277	0.9469	0.4988	0.9636	0.9642	-1.0	0.3038	0.9676	0.96	0.9758	0.9281	0.9527
0.1877	73.0	15914	0.1532	0.9389	0.99	0.9806	0.0	0.2592	0.9446	0.5009	0.961	0.962	0.0	0.3133	0.9662	0.9564	0.9749	0.9214	0.9492
0.1912	74.0	16132	0.1434	0.9488	0.995	0.9934	-1.0	0.5552	0.9507	0.5033	0.9673	0.9675	-1.0	0.7182	0.969	0.9639	0.9786	0.9336	0.9563
0.1912	75.0	16350	0.1726	0.9309	0.9901	0.9832	-1.0	0.216	0.9344	0.4964	0.9568	0.9578	-1.0	0.2611	0.9607	0.9539	0.9747	0.9079	0.941
0.1859	76.0	16568	0.1587	0.9378	0.9901	0.9847	-1.0	0.1684	0.944	0.4994	0.9601	0.9607	-1.0	0.2382	0.9662	0.952	0.9715	0.9237	0.9499
0.1859	77.0	16786	0.1378	0.9509	0.9901	0.9845	-1.0	0.2089	0.959	0.5047	0.9688	0.9691	-1.0	0.2353	0.9748	0.9666	0.9823	0.9352	0.9559
0.1747	78.0	17004	0.1416	0.9478	0.9901	0.985	0.0	0.3334	0.9521	0.5039	0.9685	0.9692	0.0	0.35	0.9719	0.9617	0.9799	0.9338	0.9586
0.1747	79.0	17222	0.1615	0.9376	0.9949	0.9873	-1.0	0.5057	0.9406	0.5003	0.9599	0.9607	-1.0	0.5688	0.9644	0.9583	0.9746	0.917	0.9469
0.1747	80.0	17440	0.1482	0.9427	0.99	0.9823	-1.0	0.1933	0.9499	0.5025	0.9639	0.9642	-1.0	0.2321	0.9689	0.9566	0.9762	0.9289	0.9521
0.1707	81.0	17658	0.1379	0.9518	0.9901	0.9894	-1.0	0.2838	0.956	0.504	0.97	0.9702	-1.0	0.3	0.9742	0.965	0.9787	0.9386	0.9618
0.1707	82.0	17876	0.1384	0.9478	0.9901	0.9846	-1.0	0.2518	0.9545	0.504	0.9687	0.9691	-1.0	0.2643	0.9734	0.9612	0.9787	0.9344	0.9595
0.1658	83.0	18094	0.1379	0.9532	0.9901	0.9845	-1.0	0.2543	0.9567	0.5043	0.9707	0.9714	-1.0	0.2708	0.975	0.9655	0.981	0.9408	0.9617
0.1658	84.0	18312	0.1325	0.9544	0.9901	0.9845	0.0	0.256	0.9597	0.5047	0.9712	0.972	0.0	0.3036	0.9762	0.9672	0.9811	0.9417	0.9628
0.1532	85.0	18530	0.1558	0.9452	0.99	0.9845	-1.0	0.2469	0.9495	0.5009	0.9648	0.9657	-1.0	0.2769	0.9695	0.9584	0.9749	0.932	0.9565
0.1532	86.0	18748	0.1228	0.9538	0.9901	0.9841	-1.0	0.3437	0.9585	0.5056	0.972	0.9726	-1.0	0.3727	0.9747	0.9642	0.9806	0.9434	0.9646
0.1532	87.0	18966	0.1317	0.9587	0.9901	0.9844	0.0	0.4141	0.965	0.5064	0.9738	0.974	0.0	0.4517	0.9791	0.9676	0.9815	0.9498	0.9664
0.1574	88.0	19184	0.1318	0.9508	0.9901	0.9845	0.0	0.2545	0.9581	0.5059	0.9705	0.9706	0.0	0.2962	0.9747	0.9594	0.9778	0.9422	0.9633
0.1574	89.0	19402	0.1424	0.9513	0.9899	0.984	-1.0	0.2362	0.9547	0.5034	0.9691	0.9695	-1.0	0.2875	0.9729	0.9636	0.9786	0.939	0.9603
0.1537	90.0	19620	0.1240	0.9565	0.9901	0.9896	-1.0	0.5053	0.9592	0.5066	0.9747	0.9752	-1.0	0.55	0.9771	0.9669	0.9823	0.9461	0.9681
0.1537	91.0	19838	0.1382	0.947	0.9901	0.9835	0.0	0.5316	0.9504	0.5018	0.9681	0.9683	0.0	0.555	0.9712	0.9622	0.9775	0.9319	0.9592
0.1547	92.0	20056	0.1276	0.9565	0.9901	0.983	-1.0	0.3161	0.9618	0.5058	0.9742	0.9743	-1.0	0.3458	0.977	0.9668	0.9818	0.9462	0.9669
0.1547	93.0	20274	0.1329	0.9539	0.99	0.9836	-1.0	0.2997	0.9593	0.5053	0.9718	0.9728	-1.0	0.3318	0.9754	0.9679	0.982	0.9398	0.9635
0.1547	94.0	20492	0.1348	0.9571	0.99	0.9846	-1.0	0.3267	0.9615	0.5039	0.9732	0.9737	-1.0	0.3625	0.9761	0.9678	0.9823	0.9463	0.9652
0.1513	95.0	20710	0.1251	0.9546	0.9901	0.9844	0.0	0.2549	0.9626	0.5049	0.9728	0.9731	0.0	0.2625	0.9775	0.965	0.981	0.9442	0.9652
0.1513	96.0	20928	0.1264	0.9594	0.9901	0.9899	0.0	0.327	0.9631	0.5068	0.9755	0.9763	0.0	0.3409	0.9794	0.9696	0.9842	0.9492	0.9683
0.1635	97.0	21146	0.1306	0.9515	0.9901	0.9843	-1.0	0.2685	0.9561	0.5041	0.9696	0.9703	-1.0	0.2857	0.9742	0.9626	0.9795	0.9404	0.9611
0.1635	98.0	21364	0.1410	0.9481	0.9899	0.9788	0.0	0.4025	0.9542	0.5031	0.9662	0.9678	0.0	0.4458	0.9722	0.9621	0.9789	0.9341	0.9567
0.1505	99.0	21582	0.1253	0.9571	0.9901	0.984	-1.0	0.3105	0.962	0.5066	0.9737	0.974	-1.0	0.3375	0.9777	0.9702	0.9832	0.944	0.9648
0.1505	100.0	21800	0.1291	0.9532	0.9901	0.9845	-1.0	0.3203	0.9578	0.5044	0.9715	0.972	-1.0	0.3538	0.9747	0.9618	0.9775	0.9447	0.9664

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1