Dataset Versions
Versions
2024-08-17 6:08am
v28
· 3 months ago
2024-05-31 4:43pm
v27
· 6 months ago
2024-05-30 6:45pm
v26
· 6 months ago
2024-05-30 3:02pm
v25
· 6 months ago
2024-05-30 2:20pm
v24
· 6 months ago
2024-05-29 2:56pm
v23
· 6 months ago
2024-05-29 11:35am
v22
· 6 months ago
2024-05-27 6:11pm
v21
· 6 months ago
2024-05-27 11:01am
v20
· 6 months ago
2024-05-24 6:44pm
v19
· 6 months ago
2024-05-23 1:34pm
v18
· 6 months ago
2024-05-22 7:01pm
v17
· 6 months ago
2024-05-22 6:32pm
v16
· 6 months ago
2024-05-20 4:55pm
v14
· 6 months ago
2024-05-20 12:14pm
v13
· 6 months ago
2024-05-15 11:34am
v12
· 6 months ago
raw to label studio seg
v10
· 7 months ago
2024-04-26 3:59pm
v9
· 7 months ago
2024-04-25 6:43pm
v8
· 7 months ago
2024-04-15 6:23pm
v7
· 7 months ago
2024-04-15 5:17pm
v6
· 7 months ago
320x320
v5
· 8 months ago
2024-03-27 4:42pm
v4
· 8 months ago
2024-03-27 4:02pm
v3
· 8 months ago
Augmented-640x640
v2
· 8 months ago
Raw
v1
· 8 months ago
v16
2024-05-22 6:32pm
Generated on May 22, 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.
401 Total Images
View All Images
Dataset Split
Train Set 85%
342Images
Valid Set 9%
37Images
Test Set 5%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical