Datasets:
Tasks:
Image Classification
Modalities:
Image
autotrain-data-processor
commited on
Commit
•
48ffae0
1
Parent(s):
a08059d
Processed data from AutoTrain data processor ([2023-02-24 16:30 ]
Browse files- README.md +53 -0
- processed/dataset_dict.json +1 -0
- processed/train/dataset.arrow +3 -0
- processed/train/dataset_info.json +34 -0
- processed/train/state.json +17 -0
- processed/valid/dataset.arrow +3 -0
- processed/valid/dataset_info.json +34 -0
- processed/valid/state.json +17 -0
README.md
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---
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task_categories:
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- image-classification
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---
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# AutoTrain Dataset for project: klasifikasi-tutupan-lahan
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## Dataset Description
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This dataset has been automatically processed by AutoTrain for project klasifikasi-tutupan-lahan.
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### Languages
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The BCP-47 code for the dataset's language is unk.
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## Dataset Structure
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### Data Instances
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A sample from this dataset looks as follows:
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```json
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[
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{
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"image": "<64x64 RGB PIL image>",
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"target": 8
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},
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{
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"image": "<64x64 RGB PIL image>",
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"target": 0
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}
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]
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```
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### Dataset Fields
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The dataset has the following fields (also called "features"):
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```json
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{
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"image": "Image(decode=True, id=None)",
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"target": "ClassLabel(names=['AnnualCrop', 'Forest', 'HerbaceousVegetation', 'Highway', 'Industrial', 'Pasture', 'PermanentCrop', 'Residential', 'River', 'SeaLake'], id=None)"
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}
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```
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### Dataset Splits
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This dataset is split into a train and validation split. The split sizes are as follow:
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| Split name | Num samples |
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| ------------ | ------------------- |
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| train | 400 |
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| valid | 100 |
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processed/dataset_dict.json
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{"splits": ["train", "valid"]}
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processed/train/dataset.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:80e5db5c047a3fe7b0cc66b0b0b4dc29441135dfb581114d0cbe1a2e86b1e5bb
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size 1376480
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processed/train/dataset_info.json
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{
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"citation": "",
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"description": "AutoTrain generated dataset",
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"features": {
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"image": {
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"_type": "Image"
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},
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"target": {
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"names": [
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"AnnualCrop",
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"Forest",
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"HerbaceousVegetation",
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"Highway",
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"Industrial",
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"Pasture",
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"PermanentCrop",
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"Residential",
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"River",
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"SeaLake"
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],
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"_type": "ClassLabel"
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}
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},
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"homepage": "",
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"license": "",
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 1375592,
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"num_examples": 400,
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"dataset_name": null
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}
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}
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}
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processed/train/state.json
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{
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"_data_files": [
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{
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"filename": "dataset.arrow"
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}
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],
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"_fingerprint": "9b30815e0a161816",
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"_format_columns": [
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"image",
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"target"
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],
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"_format_kwargs": {},
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"_format_type": null,
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"_indexes": {},
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"_output_all_columns": false,
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"_split": null
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}
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processed/valid/dataset.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:1eed46bb4999642728eee04da9c045f037334609d2054755aca2451c56ccbb19
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size 346344
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processed/valid/dataset_info.json
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{
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"citation": "",
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"description": "AutoTrain generated dataset",
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"features": {
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"image": {
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"_type": "Image"
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},
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"target": {
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"names": [
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"AnnualCrop",
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"Forest",
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"HerbaceousVegetation",
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"Highway",
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"Industrial",
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"Pasture",
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"PermanentCrop",
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"Residential",
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"River",
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"SeaLake"
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],
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"_type": "ClassLabel"
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}
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},
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"homepage": "",
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"license": "",
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"splits": {
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"valid": {
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"name": "valid",
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"num_bytes": 345450,
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"num_examples": 100,
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"dataset_name": null
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}
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}
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}
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processed/valid/state.json
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{
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"_data_files": [
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{
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"filename": "dataset.arrow"
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}
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],
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"_fingerprint": "29add57b23b744aa",
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"_format_columns": [
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"image",
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"target"
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],
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"_format_kwargs": {},
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"_format_type": null,
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"_indexes": {},
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"_output_all_columns": false,
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"_split": null
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}
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