dataset uploaded by roboflow2huggingface package

README.md

@@ -3,12 +3,62 @@ task_categories:
 - object-detection
 tags:
 - roboflow
+- roboflow2huggingface
+- Construction
+- Logistics
+- Utilities
+- Damage Risk
+- Ppe
+- Construction
+- Utilities
+- Manufacturing
+- Logistics
+- Ppe
+- Assembly Line
+- Warehouse
+- Factory
 ---
 
+<div align="center">
+  <img width="640" alt="keremberke/construction-safety-object-detection" src="https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/thumbnail.jpg">
+</div>
+
+### Dataset Labels
+
+```
+['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
+```
+
+
+### Number of Images
+
+```json
+{'train': 307, 'valid': 57, 'test': 34}
+```
+
+
+### How to Use
+
+- Install [datasets](https://pypi.org/project/datasets/):
+
+```bash
+pip install datasets
+```
+
+- Load the dataset:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("keremberke/construction-safety-object-detection", name="full")
+example = ds['train'][0]
+```
+
 ### Roboflow Dataset Page
-[https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety](https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety?ref=roboflow2huggingface)
+[https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1](https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1?ref=roboflow2huggingface)
 
 ### Citation
+
 ```
 @misc{ construction-site-safety_dataset,
     title = { Construction Site Safety Dataset },
@@ -18,9 +68,9 @@ tags:
     url = { https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety },
     journal = { Roboflow Universe },
     publisher = { Roboflow },
-    year = { 2022 },
-    month = { dec },
-    note = { visited on 2022-12-29 },
+    year = { 2023 },
+    month = { jan },
+    note = { visited on 2023-01-26 },
 }
 ```
 

construction-safety-object-detection.py

@@ -5,7 +5,7 @@ import os
 import datasets
 
 
-_HOMEPAGE = "https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety"
+_HOMEPAGE = "https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety/dataset/1"
 _LICENSE = "CC BY 4.0"
 _CITATION = """\
 @misc{ construction-site-safety_dataset,
@@ -16,23 +16,54 @@ _CITATION = """\
     url = { https://universe.roboflow.com/roboflow-universe-projects/construction-site-safety },
     journal = { Roboflow Universe },
     publisher = { Roboflow },
-    year = { 2022 },
-    month = { dec },
-    note = { visited on 2022-12-29 },
+    year = { 2023 },
+    month = { jan },
+    note = { visited on 2023-01-26 },
 }
 """
-_URLS = {
-    "train": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/train.zip",
-    "validation": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/valid.zip",
-    "test": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/test.zip",
-}
-
-_CATEGORIES = ['Barricade', 'Dumpster', 'EXCAVATORS', 'Gloves', 'Hardhat', 'Mask', 'NO-Hardhat', 'NO-Mask', 'NO-Safety Vest', 'Person', 'Safety Net', 'Safety Shoes', 'Safety Vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
+_CATEGORIES = ['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']
 _ANNOTATION_FILENAME = "_annotations.coco.json"
 
 
+class CONSTRUCTIONSAFETYOBJECTDETECTIONConfig(datasets.BuilderConfig):
+    """Builder Config for construction-safety-object-detection"""
+
+    def __init__(self, data_urls, **kwargs):
+        """
+        BuilderConfig for construction-safety-object-detection.
+
+        Args:
+          data_urls: `dict`, name to url to download the zip file from.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(CONSTRUCTIONSAFETYOBJECTDETECTIONConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.data_urls = data_urls
+
+
 class CONSTRUCTIONSAFETYOBJECTDETECTION(datasets.GeneratorBasedBuilder):
+    """construction-safety-object-detection object detection dataset"""
+
     VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        CONSTRUCTIONSAFETYOBJECTDETECTIONConfig(
+            name="full",
+            description="Full version of construction-safety-object-detection dataset.",
+            data_urls={
+                "train": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/train.zip",
+                "validation": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/valid.zip",
+                "test": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/test.zip",
+            },
+        ),
+        CONSTRUCTIONSAFETYOBJECTDETECTIONConfig(
+            name="mini",
+            description="Mini version of construction-safety-object-detection dataset.",
+            data_urls={
+                "train": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/valid-mini.zip",
+                "validation": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/valid-mini.zip",
+                "test": "https://huggingface.co/datasets/keremberke/construction-safety-object-detection/resolve/main/data/valid-mini.zip",
+            },
+        )
+    ]
 
     def _info(self):
         features = datasets.Features(
@@ -59,7 +90,7 @@ class CONSTRUCTIONSAFETYOBJECTDETECTION(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_files = dl_manager.download_and_extract(_URLS)
+        data_files = dl_manager.download_and_extract(self.config.data_urls)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -92,7 +123,7 @@ class CONSTRUCTIONSAFETYOBJECTDETECTION(datasets.GeneratorBasedBuilder):
 
         image_id_to_image = {}
         idx = 0
-        
+
         annotation_filepath = os.path.join(folder_dir, _ANNOTATION_FILENAME)
         with open(annotation_filepath, "r") as f:
             annotations = json.load(f)
@@ -100,12 +131,12 @@ class CONSTRUCTIONSAFETYOBJECTDETECTION(datasets.GeneratorBasedBuilder):
         image_id_to_annotations = collections.defaultdict(list)
         for annot in annotations["annotations"]:
             image_id_to_annotations[annot["image_id"]].append(annot)
-        image_id_to_image = {annot["file_name"]: annot for annot in annotations["images"]}
+        filename_to_image = {image["file_name"]: image for image in annotations["images"]}
 
         for filename in os.listdir(folder_dir):
             filepath = os.path.join(folder_dir, filename)
-            if filename in image_id_to_image:
-                image = image_id_to_image[filename]
+            if filename in filename_to_image:
+                image = filename_to_image[filename]
                 objects = [
                     process_annot(annot, category_id_to_category) for annot in image_id_to_annotations[image["id"]]
                 ]

data/test.zip

@@ -1,3 +1,3 @@
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-oid sha256:2d580d8d6df74dd5f2cb1bfb781adc809a49c5b39cea9a6955b4ab77a1e8694c
-size 1796485
+oid sha256:a093df4fb69d7e6618671a20a6317960edf2f5c49b2658928b87e6e6c27f4bbf
+size 1796467

data/train.zip

@@ -1,3 +1,3 @@
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-oid sha256:e06ac9d010880131edc2d460bf2669f6609d02626b0348d07a0c31f8f3e8f0f0
-size 22259666
+oid sha256:84216c88ae301de89856d002d4aea79737bd21ca2788c343299aafc620c26e79
+size 22259647

data/valid-mini.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9af740b8be10400f8d23da2f593335570979b81a746a1d3a96e8a9fcc757aebd
+size 166069

data/valid.zip

@@ -1,3 +1,3 @@
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-oid sha256:545f0da25bb34805b2b198aedadc702793fb102d791157e9d1cead170be26594
-size 3338812
+oid sha256:7332feb6f5abd953e579d71f5b450b1cde4976d0aa8eb5982cc2ca0db45a7935
+size 3338795

split_name_to_num_samples.json

@@ -0,0 +1 @@
+{"train": 307, "valid": 57, "test": 34}