• Task 3 - Joint text detection and script identification - Method: cold_v3
• Method info
• Samples list
• Per sample details

Sample 1 of 9749
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Sample Ranking	Average Precision	Hmean	Precision	Recall
CRAFTS	8.33%	28.57%	33.33%	25.00%
det+cls	8.33%	28.57%	33.33%	25.00%
Tencent-DPPR Team (Method_v0.1)	25.00%	25.00%	25.00%	25.00%
Tencent-DPPR Team (Method_v0.2)	25.00%	25.00%	25.00%	25.00%
icdar2019_mlt_task3_test_lqj	25.00%	25.00%	25.00%	25.00%
mask_rcnn-transformer	25.00%	25.00%	25.00%	25.00%
mask_rcnn-transformer	25.00%	25.00%	25.00%	25.00%
dummy	0.00%	0.00%	0.00%	0.00%
TDSI-SE	0.00%	0.00%	0.00%	0.00%
NXB OCR	0.00%	0.00%	0.00%	0.00%
TH-DL	0.00%	0.00%	0.00%	0.00%
CRAFTS(Initial)	0.00%	0.00%	0.00%	0.00%
DISTILLED CRAFT	0.00%	0.00%	0.00%	0.00%
NXB OCR	0.00%	0.00%	0.00%	0.00%
sot + classifier	0.00%	0.00%	0.00%	0.00%
TH-DL-v1	0.00%	0.00%	0.00%	0.00%
Tencent-DPPR Team	0.00%	0.00%	0.00%	0.00%
cold_v3	0.00%	0.00%	0.00%	0.00%
TH-DL-v2	0.00%	0.00%	0.00%	0.00%
Tencent-DPPR Team	0.00%	0.00%	0.00%	0.00%
DeepSolo++ (ResNet-50)	0.00%	0.00%	0.00%	0.00%