This lists all test data.
You can manage this data through Data acquisition.
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
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| Sample name | Expected outcome | F1 score | Result | |
|---|---|---|---|---|
| val1 (7) | human | 100% | ||
| val1 (10) | human | 100% | ||
| val1 (2) | human, human | 100% | ||
| value (12) | human | 100% | ||
| value (13) | human | 100% | ||
| value (15) | human | 66% | ||
| filimage (4) | - | 100% | ||
| poster1_22 | - | 100% | ||
| vrunda (18) | human | 100% | ||
| data1 (3) | human | 66% | ||
| run7 (7) | human | 100% | ||
| image2_10 | human | 100% | ||
| data1 (5) | human | 100% | ||
| data1 (8) | human | 100% | ||
| vrunda (18) | human | 100% | ||
| vrunda (8) | human | 100% | ||
| image_8 | human | 100% | ||
| vrunda (19) | human | 100% | ||
| seated (30) | human | 100% | ||
| image6_17 | human | 100% | ||
| seated (9) | human | 50% | ||
| seated (10) | human | 50% | ||
| seated (13) | human | 100% | ||
| filimage (134) | human | 100% | ||
| filimage (56) | human | 100% | ||
| filimage (30) | human | 66% | ||
| image4_29 | human | 100% | ||
| new1_2 | human, human | 100% | ||
| data_3 | - | 0% | ||
| data1_1 | human, human | 66% | ||
| data1 (26) | human, human | 80% | ||
| image2_12 | human | 100% | ||
| image2_17 | human | 100% | ||
| image1_5 | human | 100% | ||
| image2_5 | human | 100% | ||
| new1_15 | - | 0% | ||
| image_19 | human | 80% | ||
| image_11 | human | 100% | ||
| seated_image (15) | human | 100% | ||
| image_5 | human | 100% | ||
| vrunda (28) | human | 100% | ||
| new1_36 | human | 66% | ||
| new1_26 | human | 100% | ||
| new1_19 | human | 100% | ||
| jay (3) | human | 100% | ||
| jay (1) | human | 100% | ||
| data_11 | - | 0% | ||
| background (1) | - | 100% | ||
| background (22) | - | 100% | ||
| data1 (16) | human | 100% | ||
| background (9) | human | 100% | ||
| vrunda (28) | human | 100% | ||
| vrunda (2) | human | 100% | ||
| new1_27 | human | 100% | ||
| new1_2 | human | 66% | ||
| background (3) | - | 100% | ||
| background (9) | human | 100% | ||
| data1 (16) | human | 100% | ||
| background (20) | - | 0% | ||
| data1 (17) | human | 100% | ||
| image6_15 | human | 100% | ||
| image6_7 | human | 100% | ||
| image6_13 | human | 100% | ||
| image4_29 | human | 100% | ||
| image2_30 | human | 100% | ||
| image1_19 | human | 100% | ||
| image_2_47 | human | 100% | ||
| image1_9 | human | 100% | ||
| new1_9 | - | 100% | ||
| new1_8 | - | 100% | ||
| new_1 | - | 0% | ||
| data_12 | - | 100% | ||
| img (20) | - | 100% | ||
| image_30 | human | 100% | ||
| data_10 | - | 0% | ||
| data_3 | - | 0% | ||
| frame3 (12) | human | 100% | ||
| frame4 (23) | human, human | 100% | ||
| frame4 (18) | human | 100% | ||
| frame4 (14) | human | 100% | ||
| frame4 (4) | human | 100% | ||
| frame2 (24) | - | 100% | ||
| frame2 (20) | human | 100% | ||
| frame2 (13) | human | 100% | ||
| frame2 (5) | - | 100% | ||
| frame (16) | - | 0% | ||
| image8_3 | - | 100% | ||
| image_7 | human | 100% | ||
| image_12 | - | 100% | ||
| image_11 | human | 66% | ||
| image6_12 | human | 100% | ||
| image6_14 | human | 100% | ||
| image6_22 | human | 100% | ||
| image6_20 | human | 100% | ||
| data (94) | human, human | 100% | ||
| data (91) | human, human | 100% | ||
| data (84) | human | 100% | ||
| data (8) | human | 100% | ||
| data (72) | human | 100% | ||
| data (70) | human | 100% | ||
| data (55) | human, human | 100% | ||
| data (48) | human, human | 100% | ||
| data (40) | human, human | 100% | ||
| data (34) | human | 100% | ||
| data (27) | human, human | 100% | ||
| data (24) | human, human | 100% | ||
| data (20) | human, human | 100% | ||
| data (160) | human | 100% | ||
| data (154) | human | 100% | ||
| data (134) | human | 100% | ||
| data (13) | human, human | 100% | ||
| data (125) | human | 100% | ||
| data (119) | human | 100% | ||
| data (108) | human, human | 100% | ||
| data (101) | human, human | 80% | ||
| data (10) | human | 100% | ||
| image_1701 (96) | human, human | 100% | ||
| image_1701 (94) | human, human | 100% | ||
| image_1701 (89) | human, human | 100% | ||
| image_1701 (87) | human, human | 100% | ||
| image_1701 (76) | human, human | 100% | ||
| image_1701 (78) | human, human | 100% | ||
| image_1701 (70) | human | 66% | ||
| image_1701 (62) | human | 66% | ||
| image_1701 (60) | human | 100% | ||
| image_1701 (48) | human, human, human | 100% | ||
| image_1701 (43) | human, human | 100% | ||
| image_1701 (26) | human | 66% | ||
| image_1701 (27) | human | 66% | ||
| image_1701 (35) | human, human | 66% | ||
| image_1701 (30) | human | 100% | ||
| image_1701 (24) | human | 100% | ||
| image_1701 (176) | human, human | 100% | ||
| image_1701 (168) | human, human | 100% | ||
| image_1701 (173) | human | 100% | ||
| image_1701 (164) | human | 100% | ||
| image_1701 (153) | human | 100% | ||
| image_1701 (145) | human | 100% | ||
| image_1701 (139) | human | 100% | ||
| image_1701 (130) | human | 100% | ||
| image_1701 (131) | human | 100% | ||
| image_1701 (123) | human, human | 100% | ||
| image_1701 (12) | human, human | 100% | ||
| image_1701 (117) | human | 66% | ||
| image_1701 (103) | human, human | 100% | ||
| image_1701 (107) | human | 100% | ||
| image_1701 (111) | human | 100% | ||
| image_1701 (104) | human | 100% |
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