Dataset Versions

Try Pre-Trained Model
Versions
2023-10-21 5:46pm
v21
·
a year ago
2023-10-21 4:21pm
v20
·
a year ago
2023-10-21 1:46pm
v19
·
a year ago
lots of preprocess
v18
·
a year ago
2023-08-22 9:53am
v17
·
a year ago
2023-08-21 12:25pm
v16
·
a year ago
2023-08-20 3:50pm
v15
·
a year ago
Brightness_in_bounding_box
v14
·
a year ago
only_flip_and_rotation
v13
·
a year ago
2023-08-18 10:19am
v12
·
a year ago
2023-08-15 12:51pm
v11
·
a year ago
2023-08-15 9:06am
v10
·
a year ago
2023-08-15 7:31am
v9
·
a year ago
2023-08-14 5:31am
v8
·
a year ago
2023-08-14 5:30am
v7
·
a year ago
2023-08-10 12:08am
v6
·
a year ago
2023-08-09 11:57pm
v5
·
a year ago
2023-08-09 11:55pm
v4
·
a year ago
2023-08-09 9:51pm
v3
·
a year ago
2023-08-09 9:35pm
v2
·
a year ago
2023-08-02 10:09pm
v1
·
a year ago
v10

2023-08-15 9:06am

Generated on Aug 15, 2023
Download

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

2538 Total Images

View All Images
Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 89%
2264Images
Valid Set 6%
146Images
Test Set 5%
128Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%

Similar Projects

See More