Dataset Versions
Versions
2023-04-24 10:17pm
v25
· 2 years ago
2023-03-30 8:18pm
v24
· 2 years ago
2023-03-23 7:43pm
v23
· 2 years ago
2023-03-19 8:26pm
v22
· 2 years ago
2023-03-16 2:48pm
v21
· 2 years ago
2023-03-16 12:00am
v20
· 2 years ago
2023-03-10 2:42pm
v19
· 2 years ago
2023-03-10 9:03am
v18
· 2 years ago
2023-03-09 4:47pm
v17
· 2 years ago
2023-03-06 6:31pm
v16
· 2 years ago
2023-03-06 6:27pm
v15
· 2 years ago
2023-03-03 6:28pm
v14
· 2 years ago
2023-03-01 7:43pm
v13
· 2 years ago
2023-02-25 5:26pm
v11
· 2 years ago
2023-02-22 3:12pm
v10
· 2 years ago
2023-02-17 8:32am
v9
· 2 years ago
2023-02-16 11:01pm
v8
· 2 years ago
2023-02-15 11:53pm
v7
· 2 years ago
2023-02-15 9:06pm
v6
· 2 years ago
2023-02-12 4:05pm
v5
· 2 years ago
2023-02-12 4:05pm
v4
· 2 years ago
2023-02-03 1:13am
v3
· 2 years ago
2023-02-03 12:02am
v2
· 2 years ago
2023-01-23 10:46pm
v1
· 2 years ago
v15
2023-03-06 6:27pm
Generated on Mar 6, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
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.
3605 Total Images
View All Images
Dataset Split
Train Set 81%
2931Images
Valid Set 10%
350Images
Test Set 9%
324Images
Preprocessing
Resize: Fit (reflect edges) in 320x320
Augmentations
Outputs per training example: 3
Hue: Between -180° and +180°
Saturation: Between -82% and +82%
Blur: Up to 1.25px
Noise: Up to 4% of pixels