add dataset_summary.json

dataset_summary.json

@@ -0,0 +1,74 @@
+{
+  "data_root": "/mnt/data",
+  "days": [
+    "day2",
+    "day3",
+    "day4"
+  ],
+  "frames_total": 1136,
+  "frames_with_annotation": 696,
+  "annotation_frame_ratio": 0.6126760563380281,
+  "per_day_frames": {
+    "day2": 384,
+    "day3": 492,
+    "day4": 260
+  },
+  "per_day_annotated_frames": {
+    "day2": 188,
+    "day3": 328,
+    "day4": 180
+  },
+  "per_class_object_count": {
+    "1": 288,
+    "2": 516,
+    "3": 112,
+    "4": 80,
+    "5": 60,
+    "6": 420,
+    "7": 60
+  },
+  "global_object_area_stats": {
+    "count": 1536,
+    "mean": 896.5546875,
+    "std": 941.227385811178,
+    "min": 32.0,
+    "max": 6135.0
+  },
+  "smallest_object": {
+    "day": "day4",
+    "image_id": 72,
+    "category_id": 6,
+    "category_name": "fly",
+    "area_px": 32,
+    "bbox": [
+      435.0,
+      667.0,
+      7.0,
+      9.0
+    ]
+  },
+  "largest_object": {
+    "day": "day2",
+    "image_id": 292,
+    "category_id": 4,
+    "category_name": "blue_paper",
+    "area_px": 6135,
+    "bbox": [
+      724.0,
+      744.0,
+      101.0,
+      93.0
+    ]
+  },
+  "output_files": [
+    "dataset_summary.json",
+    "object_size_summary.csv",
+    "class_pixel_stats.csv",
+    "smallest_objects.csv",
+    "largest_objects.csv",
+    "all_objects.csv",
+    "object_area_histogram.png",
+    "spectral_mean_signatures.png",
+    "spectral_signatures_per_band.csv"
+  ]
+}