SmilingWolf/danbooru-v4-tfrecord
Danbooru TFRecords to train classifiers and other stuff with my codebases. TFRecord serialization/deserialization code: NUM_CLASSES = 12822 # Function to convert value to bytes_list def _bytes_feature(value): if isinstance(value, type(tf.constant(0))): value = value.numpy() elif isinstance(value, str): value = value.encode() return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value])) # Function to convert bool/enum/int/uint to int64_list def… See the full description on the dataset page: https://huggingface.co/datasets/SmilingWolf/danbooru-v4-tfrecord.
| Author / organization | SmilingWolf |
|---|---|
| Downloads | 3.1K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 April 2025 |
| Last updated at source | 13 April 2025 |
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- 16 Oct 2026 Description: Danbooru TFRecords to train classifiers and other stuff with my codebases. TFRecord serialization/deserialization code: NUM_CLASSES = 12822 # Function to convert value to bytes_list def _bytes_feature(value): if isinstance(value, type(tf.co → Danbooru TFRecords to train classifiers and other stuff with my codebases. TFRecord serialization/deserialization code: NUM_CLASSES = 12822 # Function to convert value to bytes_list def _bytes_feature(value): if isinstance(value, type(tf.co
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