Use below directory structure, and generate text file containing (KITTI format ) annotation for each image. . ├── images │ ├── 000000.jpg │ . │ . │ └── XXXXXX.jpg └── annotations ├── 000000.txt . . └── XXXXXX.txt The text file should contain one annotation per line, with values separated by space. className 0.00 0 0.00 x1 y1 x2 y2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 className 0.00 0 0.00 x1 y1 x2 y2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Eg., person 0.00 0 0.00 20 50 196 600 0.00 0.00 0.00 0.00 0.00 0.00 0.00 face 0.00 0 0.00 100 120 150 180 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Note:- The dataset is available to download through Google drive & Kaggle , here's what can be done. Download it manually and upload to colab (https://www.kaggle.com/imneonizer/wider-person/download).
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Use below directory structure, and generate text file containing (KITTI format ) annotation for each image. . ├── images │ ├── 000000.jpg │ . │ . │ └── XXXXXX.jpg └── annotations ├── 000000.txt . . └── XXXXXX.txt The text file should contain one annotation per line, with values separated by space. className 0.00 0 0.00 x1 y1 x2 y2 0.00 0.00 0.00…
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Nitinguptadu/Object-detection-
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Use below directory structure, and generate text file containing (KITTI format ) annotation for each image. . ├── images │ ├── 000000.jpg │ . │ . │ └── XXXXXX.jpg └── annotations ├── 000000.txt . . └── XXXXXX.txt The text file should contain one annotation per line, with values separated by space. className 0.00 0 0.00 x1 y1 x2 y2 0.00 0.00 0.00…
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