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16 lines
1.1 KiB
YAML
16 lines
1.1 KiB
YAML
# COCO 2017 dataset http://cocodataset.org
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# download command/URL (optional)
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path: /home/hanoch/projects/tir_frames_rois/tir_tiff_tiff_files #/home/hanoch/projects/tir_frames_rois/tir_car_44person_31 #/home/hanochk/tir_frames_rois/yolo7_tir_data
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# train and val data as 1) directory: path/images/, 2) file: path/images.txt, or 3) list: [path1/images/, path2/images/]
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#train: ./yolov7/tir_od/training_set.txt #./yolov7/tir_od/training_set.txt # ./yolov7/tir_od/tir_tiff_car_person_min_size_44_31_training_set.txt #./yolov7/tir_od/training_set.txt #./yolov7/tir_od/training_set.txt # 118287 images
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#val: ./yolov7/tir_od/validation_set.txt #./yolov7/tir_od/tir_tiff_car_person_min_size_44_31_validation_set.txt #./yolov7/tir_od/validation_set.txt #./yolov7/tir_od/val_tir_od.txt #./yolov7/tir_od/validation_set.txt # 5000 images
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test: ./yolov7/tir_od/test_set/tir_tiff_tiff_folder_test_set.txt # data at tir_tiff_tiff_files
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#test: ./tir_od/test-dev2017.txt # 20288 of 40670 images, submit to https://competitions.codalab.org/competitions/20794
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# number of classes
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nc: 2
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# class names
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names: ['car', 'person'] |