Create README.md

README.md

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+---
+pretty_name: imagenet3d
+extra_gated_fields:
+  Name: text
+  Affiliation: text
+---
+## ImageNet3D (version 04/09)
+
+Helper code: [github.com/wufeim/imagenet3d](https://github.com/wufeim/imagenet3d)
+
+### Download Data
+
+```py
+from huggingface_hub import hf_hub_download
+hf_hub_download(
+    repo_id='ccvl/imagenet3d-0409',
+    repo_type='dataset',
+    filename='imagenet3d_0409.zip',
+    local_dir='/path/to/imagenet3d_0409.zip',
+    local_dir_use_symlinks=False)
+```
+
+### Example Usage
+
+```py
+from PIL import Image
+import numpy as np
+
+img_path = 'imagenet3d/bed/n02818832_13.JPEG'
+annot_path = 'imagenet3d/bed/n02818832_13.npz'
+
+img = np.array(Image.open(img_path).convert('RGB'))
+annot = dict(np.load(annot_path, allow_pickle=True))['annotations']
+
+# Number of objects
+num_objects = len(annot)
+
+# Annotation of the first object
+azimuth = annot[0]['azimuth']  # float, [0, 2*pi]
+elevation = annot[0]['elevation']  # float, [0, 2*pi]
+theta = annot[0]['theta']  # float, [0, 2*pi]
+cad_index = annot[0]['cad_index']  # int
+distance = annot[0]['distance']  # float
+viewport = annot[0]['viewport']  # int
+img_height = annot[0]['height']  # numpy.uint16
+img_width = annot[0]['width']  # numpy.uint16
+bbox = annot[0]['bbox']  # numpy.ndarray, (x1, y1, x2, y2)
+category = annot[0]['class']  # str
+principal_x = annot[0]['px']  # float
+principal_y = annot[0]['py']  # float
+
+# label indicating the quality of the object, occluded or low quality
+object_status = annot[0]['object_status']  # str, one of ('status_good', 'status_partially', 'status_barely', 'status_bad')
+
+# label indicating if multiple objects from same category very close to each other
+dense = annot[0]['dense']  # str, one of ('dense_yes', 'dense_no')
+```