Dataset Versions
Versions
2024-05-05 8:50pm
v23
· 7 months ago
2024-05-05 3:27pm
v22
· 7 months ago
2024-04-26 6:34pm
v21
· 7 months ago
2024-04-25 6:39am
v20
· 7 months ago
2024-04-25 6:39am
v19
· 7 months ago
2024-04-25 6:36am
v18
· 7 months ago
2024-04-14 9:38am
v17
· 7 months ago
2024-04-04 7:02pm
v16
· 8 months ago
2024-04-04 6:38pm
v15
· 8 months ago
2024-03-27 1:51pm
v14
· 8 months ago
2024-03-26 11:49am
v13
· 8 months ago
2024-02-27 8:08pm
v12
· 9 months ago
2023-11-23 3:07pm
v11
· a year ago
2023-11-20 2:48pm
v10
· a year ago
2023-11-20 2:37pm
v9
· a year ago
2023-11-18 1:27pm
v8
· a year ago
2023-11-13 11:46pm
v7
· a year ago
2023-11-13 7:11pm
v6
· a year ago
2023-10-23 3:09pm
v5
· a year ago
2023-10-19 1:57pm
v4
· a year ago
2023-10-17 12:46pm
v3
· a year ago
2023-10-16 4:21pm
v2
· a year ago
2023-10-15 2:20pm
v1
· a year ago
v22
2024-05-05 3:27pm
Generated on May 5, 2024
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.
1700 Total Images
View All Images
Dataset Split
Train Set 88%
1488Images
Valid Set 12%
212Images
Test Set %
0Images
Preprocessing
Resize: Fit (black edges) in 1280x1280
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -25% and +25%
Noise: Up to 1.84% of pixels