Datasets:
Formats:
parquet
Size:
10K - 100K
ArXiv:
Tags:
personalization
instance_detection
instance_classification
instance_segmentation
instance_retrieval
License:
Update README.md
Browse files## PODS
The PODS dataset is new a benchmark for personalized vision tasks. It includes:
* 100 common household objects from 5 semantic categories
* 4 tasks (classification, retrieval, segmentation, detection)
* 4 test splits with different distribution shifts.
* 71-201 test images per instance with classification label annotations.
* 12 test images per instance (3 per split) with segmentation annotations.
PODS is [available on HuggingFace](#hf-link-here), or can be directly downloaded via command:
```
wget https://data.csail.mit.edu/personal_rep/pods.zip
```
README.md
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* 100 common household objects from 5 semantic categories
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* 4 tasks (classification, retrieval, segmentation, detection)
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* 4 test splits with different distribution shifts.
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PODS
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Metadata is stored in two files:
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* `pods_info.json`:
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* 100 common household objects from 5 semantic categories
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* 4 tasks (classification, retrieval, segmentation, detection)
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* 4 test splits with different distribution shifts.
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* 71-201 test images per instance with classification label annotations.
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* 12 test images per instance (3 per split) with segmentation annotations.
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PODS can be directly downloaded via command:
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```
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wget https://data.csail.mit.edu/personal_rep/pods.zip
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```
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Metadata is stored in two files:
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* `pods_info.json`:
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