Processed data from AutoTrain data processor ([2022-11-27 16:25 ]

README.md

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+---
+task_categories:
+- image-classification
+
+---
+# AutoTrain Dataset for project: image-classification
+
+## Dataset Description
+
+This dataset has been automatically processed by AutoTrain for project image-classification.
+
+### Languages
+
+The BCP-47 code for the dataset's language is unk.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "image": "<500x333 RGB PIL image>",
+    "target": 0
+  },
+  {
+    "image": "<320x240 RGB PIL image>",
+    "target": 4
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(num_classes=5, names=['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips'], id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 160 |
+| valid        | 40 |

processed/dataset_dict.json

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processed/train/dataset_info.json

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+      "id": null,
+      "_type": "Image"
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+        "dandelion",
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+      ],
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+      "_type": "ClassLabel"
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+  "license": "",
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+  "version": null
+}

processed/train/state.json

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+    "image",
+    "target"
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processed/valid/dataset_info.json

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+  "config_name": null,
+  "dataset_size": null,
+  "description": "AutoTrain generated dataset",
+  "download_checksums": null,
+  "download_size": null,
+  "features": {
+    "image": {
+      "decode": true,
+      "id": null,
+      "_type": "Image"
+    },
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+      "num_classes": 5,
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+        "daisy",
+        "dandelion",
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+        "sunflowers",
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+}

processed/valid/state.json

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+    "image",
+    "target"
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+}