Dataset Versions
Versions
2024-12-01 12:38pm
v30
· 17 days ago
2024-10-16 5:17am
v29
· 2 months ago
2024-10-15 5:05pm
v28
· 2 months ago
2024-10-13 2:40am
v27
· 2 months ago
2024-10-12 4:37pm
v26
· 2 months ago
2024-10-09 6:02pm
v25
· 2 months ago
2024-10-02 9:46am
v24
· 3 months ago
2024-10-01 2:03pm
v23
· 3 months ago
2024-09-30 2:28pm
v22
· 3 months ago
2024-09-29 2:19pm
v21
· 3 months ago
2024-09-29 7:05am
v20
· 3 months ago
2024-09-28 9:57am
v19
· 3 months ago
2024-09-28 9:34am
v18
· 3 months ago
2024-09-27 7:53pm
v17
· 3 months ago
2024-09-26 1:25pm
v16
· 3 months ago
2024-09-25 3:55pm
v15
· 3 months ago
2024-09-25 2:35pm
v14
· 3 months ago
2024-09-25 10:42am
v13
· 3 months ago
2024-09-25 10:34am
v12
· 3 months ago
2024-09-25 6:20am
v11
· 3 months ago
2024-09-25 3:51am
v10
· 3 months ago
2024-09-24 7:49pm
v9
· 3 months ago
2024-09-24 8:40am
v8
· 3 months ago
2024-09-24 8:34am
v7
· 3 months ago
2024-09-24 8:17am
v6
· 3 months ago
2024-09-24 8:08am
v5
· 3 months ago
2024-09-24 7:54am
v4
· 3 months ago
2024-09-24 5:49am
v3
· 3 months ago
2024-09-24 5:45am
v2
· 3 months ago
2024-09-23 6:20pm
v1
· 3 months ago
v7
2024-09-24 8:34am
Generated on Sep 24, 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.
18 Total Images
View All Images
Dataset Split
Train Set 83%
15Images
Valid Set 11%
2Images
Test Set 6%
1Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 0.06% of pixels