token_dtype
stringclasses 1
value | s
int64 16
16
| h
int64 16
16
| w
int64 16
16
| vocab_size
int64 262k
262k
| hz
int64 30
30
| tokenizer_ckpt
stringclasses 1
value | num_images
int64 51k
1.35M
|
|---|---|---|---|---|---|---|---|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,232,975
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 916,648
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,085,940
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 829,177
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,217,781
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,212,761
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 51,038
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,150,321
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,352,994
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,106,470
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 1,154,239
|
uint32
| 16
| 16
| 16
| 262,144
| 30
|
data/magvit2.ckpt
| 358,267
|
CyberOrigin Dataset
Our data includes information from home services, the logistics industry, and laboratory scenarios. For more details, please refer to our Offical Data Website
contents of train/val data:
train # train dataset root folder
└── ID1/
└── 2024-08-07/
├── metadata.json
├── segment_ids.bin # for each frame segment_ids[i] uniquely points to the segment index that frame i came from. You may want to use this to separate non-contiguous frames from different videos (transitions).
├── videos.bin # 16x16 image patches at 30hz, each patch is vector-quantized into 2^18 possible integer values. These can be decoded into 256x256 RGB images using the provided magvit2.ckpt weights.
└── ID2/
└── 2024-08-08/
├── ...
val # val dataset root folder
└── ID1/
└── 2024-08-05/
├── metadata.json
├── segment_ids.bin
├── videos.bin
└── ID2/
└── 2024-08-06/
├── ...
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