Hugging Face's logo

Datasets:
society-ethics
/
lila_camera_traps

Tasks:
Image Classification
Languages:
English
Size:
10M<n<100M
Tags:
biodiversity
camera trap data
wildlife monitoring
License:
Dataset card Files Community
4
NimaBoscarino commited on
Commit
168a088
·
1 Parent(s): afb36c9

Update lila_camera_traps.py

Browse files
Files changed (1) hide show
  1. lila_camera_traps.py +9 -9
lila_camera_traps.py CHANGED
@@ -687,7 +687,7 @@ class LILA(datasets.GeneratorBasedBuilder):
687
  }),
688
  "bboxes": datasets.Sequence({
689
  "taxonomy": _TAXONOMY,
690
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
691
  }),
692
  "image": datasets.Value("string"),
693
  })
@@ -696,7 +696,7 @@ class LILA(datasets.GeneratorBasedBuilder):
696
  "file_name": datasets.Value("string"),
697
  "width": datasets.Value("int32"), "height": datasets.Value("int32"),
698
  "annotations": datasets.Sequence({
699
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
700
  "taxonomy": _TAXONOMY,
701
  }),
702
  "image": datasets.Value("string"),
@@ -709,7 +709,7 @@ class LILA(datasets.GeneratorBasedBuilder):
709
  "frame_num": datasets.Value("int32"),
710
  "annotations": datasets.Sequence({
711
  "sequence_level_annotation": datasets.Value("bool"),
712
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
713
  "taxonomy": _TAXONOMY,
714
  }),
715
  "image": datasets.Value("string"),
@@ -723,7 +723,7 @@ class LILA(datasets.GeneratorBasedBuilder):
723
  "taxonomy": _TAXONOMY,
724
  }),
725
  "bboxes": datasets.Sequence({
726
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
727
  }),
728
  "image": datasets.Value("string"),
729
  })
@@ -745,7 +745,7 @@ class LILA(datasets.GeneratorBasedBuilder):
745
  "taxonomy": _TAXONOMY,
746
  }),
747
  "bboxes": datasets.Sequence({
748
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
749
  }),
750
  "image": datasets.Value("string"),
751
  })
@@ -766,7 +766,7 @@ class LILA(datasets.GeneratorBasedBuilder):
766
  "file_name": datasets.Value("string"),
767
  "width": datasets.Value("int32"), "height": datasets.Value("int32"),
768
  "annotations": datasets.Sequence({
769
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
770
  "taxonomy": _TAXONOMY,
771
  }),
772
  "image": datasets.Value("string"),
@@ -782,7 +782,7 @@ class LILA(datasets.GeneratorBasedBuilder):
782
  "temperature": datasets.Value("string"),
783
  "annotations": datasets.Sequence({
784
  "sequence_level_annotation": datasets.Value("bool"),
785
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
786
  "taxonomy": _TAXONOMY,
787
  }),
788
  "image": datasets.Value("string"),
@@ -826,7 +826,7 @@ class LILA(datasets.GeneratorBasedBuilder):
826
  "taxonomy": _TAXONOMY,
827
  }),
828
  "bboxes": datasets.Sequence({
829
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
830
  }),
831
  "image": datasets.Value("string"),
832
  })
@@ -875,7 +875,7 @@ class LILA(datasets.GeneratorBasedBuilder):
875
  }),
876
  "bboxes": datasets.Sequence({
877
  "sequence_level_annotation": datasets.Value("bool"),
878
- "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
879
  "taxonomy": _TAXONOMY,
880
  }),
881
  "image": datasets.Value("string"),
 
687
  }),
688
  "bboxes": datasets.Sequence({
689
  "taxonomy": _TAXONOMY,
690
+ "bbox": datasets.Sequence(datasets.Value("float32")),
691
  }),
692
  "image": datasets.Value("string"),
693
  })
 
696
  "file_name": datasets.Value("string"),
697
  "width": datasets.Value("int32"), "height": datasets.Value("int32"),
698
  "annotations": datasets.Sequence({
699
+ "bbox": datasets.Sequence(datasets.Value("float32")),
700
  "taxonomy": _TAXONOMY,
701
  }),
702
  "image": datasets.Value("string"),
 
709
  "frame_num": datasets.Value("int32"),
710
  "annotations": datasets.Sequence({
711
  "sequence_level_annotation": datasets.Value("bool"),
712
+ "bbox": datasets.Sequence(datasets.Value("float32")),
713
  "taxonomy": _TAXONOMY,
714
  }),
715
  "image": datasets.Value("string"),
 
723
  "taxonomy": _TAXONOMY,
724
  }),
725
  "bboxes": datasets.Sequence({
726
+ "bbox": datasets.Sequence(datasets.Value("float32")),
727
  }),
728
  "image": datasets.Value("string"),
729
  })
 
745
  "taxonomy": _TAXONOMY,
746
  }),
747
  "bboxes": datasets.Sequence({
748
+ "bbox": datasets.Sequence(datasets.Value("float32")),
749
  }),
750
  "image": datasets.Value("string"),
751
  })
 
766
  "file_name": datasets.Value("string"),
767
  "width": datasets.Value("int32"), "height": datasets.Value("int32"),
768
  "annotations": datasets.Sequence({
769
+ "bbox": datasets.Sequence(datasets.Value("float32")),
770
  "taxonomy": _TAXONOMY,
771
  }),
772
  "image": datasets.Value("string"),
 
782
  "temperature": datasets.Value("string"),
783
  "annotations": datasets.Sequence({
784
  "sequence_level_annotation": datasets.Value("bool"),
785
+ "bbox": datasets.Sequence(datasets.Value("float32")),
786
  "taxonomy": _TAXONOMY,
787
  }),
788
  "image": datasets.Value("string"),
 
826
  "taxonomy": _TAXONOMY,
827
  }),
828
  "bboxes": datasets.Sequence({
829
+ "bbox": datasets.Sequence(datasets.Value("float32")),
830
  }),
831
  "image": datasets.Value("string"),
832
  })
 
875
  }),
876
  "bboxes": datasets.Sequence({
877
  "sequence_level_annotation": datasets.Value("bool"),
878
+ "bbox": datasets.Sequence(datasets.Value("float32")),
879
  "taxonomy": _TAXONOMY,
880
  }),
881
  "image": datasets.Value("string"),