Datasets:
TrainingDataPro
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- crowds_counting.csv +21 -0
- images/0-1000/0.jpg +3 -0
- images/0-1000/1.jpg +3 -0
- images/0-1000/2.jpg +3 -0
- images/0-1000/3.jpg +3 -0
- images/1000-2000/4.jpg +3 -0
- images/1000-2000/5.jpg +3 -0
- images/1000-2000/6.jpg +3 -0
- images/1000-2000/7.jpg +3 -0
- images/2000-3000/10.jpg +3 -0
- images/2000-3000/11.jpg +3 -0
- images/2000-3000/8.jpg +3 -0
- images/2000-3000/9.jpg +3 -0
- images/3000-4000/12.jpg +3 -0
- images/3000-4000/13.jpg +3 -0
- images/3000-4000/14.jpg +3 -0
- images/3000-4000/15.jpg +3 -0
- images/4000-5000/16.jpg +3 -0
- images/4000-5000/17.jpg +3 -0
- images/4000-5000/18.jpg +3 -0
- images/4000-5000/19.jpg +3 -0
- labels/0-1000/0.jpg +3 -0
- labels/0-1000/0.json +0 -0
- labels/0-1000/1.jpg +3 -0
- labels/0-1000/1.json +0 -0
- labels/0-1000/2.jpg +3 -0
- labels/0-1000/2.json +0 -0
- labels/0-1000/3.jpg +3 -0
- labels/0-1000/3.json +0 -0
- labels/1000-2000/4.jpg +3 -0
- labels/1000-2000/4.json +0 -0
- labels/1000-2000/5.jpg +3 -0
- labels/1000-2000/5.json +0 -0
- labels/1000-2000/6.jpg +3 -0
- labels/1000-2000/6.json +0 -0
- labels/1000-2000/7.jpg +3 -0
- labels/1000-2000/7.json +0 -0
- labels/2000-3000/10.jpg +3 -0
- labels/2000-3000/10.json +0 -0
- labels/2000-3000/11.jpg +3 -0
- labels/2000-3000/11.json +0 -0
- labels/2000-3000/8.jpg +3 -0
- labels/2000-3000/8.json +0 -0
- labels/2000-3000/9.jpg +3 -0
- labels/2000-3000/9.json +0 -0
- labels/3000-4000/12.jpg +3 -0
- labels/3000-4000/12.json +0 -0
- labels/3000-4000/13.jpg +3 -0
- labels/3000-4000/13.json +0 -0
- labels/3000-4000/14.jpg +3 -0
crowds_counting.csv
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id,image,label,type
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0,images/0-1000/0.jpg,labels/0-1000/0.json,0-1000
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1,images/0-1000/1.jpg,labels/0-1000/1.json,0-1000
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2,images/0-1000/2.jpg,labels/0-1000/2.json,0-1000
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3,images/0-1000/3.jpg,labels/0-1000/3.json,0-1000
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4,images/1000-2000/4.jpg,labels/1000-2000/4.json,1000-2000
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5,images/1000-2000/5.jpg,labels/1000-2000/5.json,1000-2000
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6,images/1000-2000/6.jpg,labels/1000-2000/6.json,1000-2000
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7,images/1000-2000/7.jpg,labels/1000-2000/7.json,1000-2000
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8,images/2000-3000/8.jpg,labels/2000-3000/8.json,2000-3000
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9,images/2000-3000/9.jpg,labels/2000-3000/9.json,2000-3000
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10,images/2000-3000/10.jpg,labels/2000-3000/10.json,2000-3000
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11,images/2000-3000/11.jpg,labels/2000-3000/11.json,2000-3000
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12,images/3000-4000/12.jpg,labels/3000-4000/12.json,3000-4000
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13,images/3000-4000/13.jpg,labels/3000-4000/13.json,3000-4000
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14,images/3000-4000/14.jpg,labels/3000-4000/14.json,3000-4000
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15,images/3000-4000/15.jpg,labels/3000-4000/15.json,3000-4000
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16,images/4000-5000/16.jpg,labels/4000-5000/16.json,4000-5000
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17,images/4000-5000/17.jpg,labels/4000-5000/17.json,4000-5000
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18,images/4000-5000/18.jpg,labels/4000-5000/18.json,4000-5000
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19,images/4000-5000/19.jpg,labels/4000-5000/19.json,4000-5000
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images/0-1000/0.jpg
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images/0-1000/1.jpg
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images/0-1000/2.jpg
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images/0-1000/3.jpg
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images/1000-2000/4.jpg
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images/1000-2000/5.jpg
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images/1000-2000/6.jpg
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images/1000-2000/7.jpg
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images/2000-3000/10.jpg
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images/2000-3000/11.jpg
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images/2000-3000/8.jpg
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images/2000-3000/9.jpg
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images/3000-4000/12.jpg
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images/3000-4000/13.jpg
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images/3000-4000/14.jpg
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images/3000-4000/15.jpg
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images/4000-5000/16.jpg
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images/4000-5000/17.jpg
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images/4000-5000/18.jpg
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images/4000-5000/19.jpg
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labels/0-1000/0.jpg
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labels/0-1000/0.json
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labels/0-1000/1.jpg
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labels/0-1000/1.json
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labels/0-1000/2.jpg
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labels/0-1000/2.json
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labels/0-1000/3.jpg
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labels/0-1000/3.json
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labels/1000-2000/4.jpg
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labels/1000-2000/4.json
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labels/1000-2000/5.jpg
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labels/1000-2000/5.json
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labels/1000-2000/6.jpg
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labels/1000-2000/6.json
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labels/1000-2000/7.jpg
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labels/1000-2000/7.json
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labels/2000-3000/10.jpg
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labels/2000-3000/10.json
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labels/2000-3000/11.jpg
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labels/2000-3000/11.json
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labels/2000-3000/8.jpg
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labels/2000-3000/8.json
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labels/2000-3000/9.jpg
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labels/2000-3000/9.json
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labels/3000-4000/12.jpg
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labels/3000-4000/12.json
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labels/3000-4000/13.jpg
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labels/3000-4000/13.json
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labels/3000-4000/14.jpg
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