Dataset Versions
Versions
2024-12-11 8:11pm
v25
· 12 days ago
2024-12-11 7:07pm
v24
· 12 days ago
2024-12-10 7:31pm
v23
· 13 days ago
2024-12-10 1:49pm
v22
· 13 days ago
2024-12-06 7:06pm
v21
· 17 days ago
2024-12-06 5:25pm
v20
· 17 days ago
2024-12-06 1:46pm
v19
· 17 days ago
2024-12-06 11:08am
v18
· 17 days ago
2024-12-06 11:07am
v17
· 17 days ago
2024-12-06 11:07am
v16
· 17 days ago
2024-12-06 10:35am
v15
· 17 days ago
2024-12-04 10:40am
v14
· 19 days ago
2024-12-01 7:08pm
v13
· 22 days ago
2024-12-01 6:51pm
v12
· 22 days ago
2024-12-01 6:49pm
v11
· 22 days ago
2024-11-30 1:53pm
v10
· 23 days ago
2024-11-30 1:08pm
v9
· 23 days ago
2024-11-30 1:07pm
v8
· 23 days ago
2024-11-30 1:06pm
v7
· 23 days ago
2024-11-29 2:23pm
v6
· 24 days ago
2024-11-29 2:22pm
v5
· 24 days ago
2024-11-29 2:21pm
v4
· 24 days ago
2024-11-29 2:20pm
v3
· 24 days ago
2024-11-29 2:18pm
v2
· 24 days ago
2024-11-29 2:18pm
v1
· 24 days ago
v5
2024-11-29 2:22pm
Generated on Nov 29, 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.
1829 Total Images
View All Images
Dataset Split
Train Set 71%
1290Images
Valid Set 16%
298Images
Test Set 13%
241Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%
Blur: Up to 0.8px
Noise: Up to 0.02% of pixels