Dataset Versions
Versions
2024-02-11 10:08pm
v32
· 9 months ago
2024-02-11 12:16pm
v31
· 9 months ago
2024-02-11 11:46am
v30
· 9 months ago
2024-02-11 10:54am
v29
· 9 months ago
2024-02-11 9:37am
v28
· 9 months ago
2024-02-11 5:04am
v27
· 9 months ago
2024-02-11 4:46am
v26
· 9 months ago
2024-02-10 7:01pm
v25
· 9 months ago
2024-02-10 11:26am
v24
· 9 months ago
2024-02-10 8:26am
v23
· 9 months ago
2024-02-10 12:51am
v22
· 9 months ago
2024-02-08 7:54pm
v21
· 10 months ago
2024-02-08 7:44pm
v20
· 10 months ago
2024-02-08 12:40pm
v19
· 10 months ago
2024-02-08 1:48am
v18
· 10 months ago
2024-02-07 5:17am
v17
· 10 months ago
2024-02-06 10:02pm
v16
· 10 months ago
2024-02-05 10:51pm
v15
· 10 months ago
2024-02-04 9:52am
v14
· 10 months ago
2024-02-03 9:06am
v13
· 10 months ago
2024-02-03 9:02am
v12
· 10 months ago
Download
v11
· a year ago
2023-12-02 9:53am
v10
· a year ago
2023-12-02 9:12am
v9
· a year ago
2023-11-29 5:55am
v8
· a year ago
2023-11-27 11:46am
v7
· a year ago
2023-11-27 8:55am
v6
· a year ago
2023-11-26 5:24pm
v5
· a year ago
2023-11-26 5:11pm
v4
· a year ago
2023-11-20 7:16am
v3
· a year ago
2023-11-18 2:23pm
v2
· a year ago
2023-11-18 7:28am
v1
· a year ago
v8
2023-11-29 5:55am
Generated on Nov 28, 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.
380 Total Images
View All Images
Dataset Split
Train Set 91%
347Images
Valid Set 9%
33Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 720x360
Augmentations
Outputs per training example: 3
Brightness: Between -9% and +9%
Blur: Up to 1px