Dataset Versions
Versions
2024-05-06 6:20am
v28
· 8 months ago
2024-05-06 6:20am
v27
· 8 months ago
2024-05-06 6:19am
v26
· 8 months ago
2024-05-06 6:19am
v25
· 8 months ago
2024-05-06 6:18am
v24
· 8 months ago
13
v23
· 8 months ago
12
v22
· 8 months ago
44
v21
· 8 months ago
33
v20
· 8 months ago
22
v19
· 8 months ago
11
v18
· 8 months ago
2024-04-26 7:57am
v17
· 8 months ago
2024-04-26 7:57am
v16
· 8 months ago
r0
v15
· 8 months ago
2024-04-26 7:52am
v14
· 8 months ago
2024-04-26 7:52am
v13
· 8 months ago
2024-04-26 7:52am
v12
· 8 months ago
2024-04-26 7:51am
v11
· 8 months ago
2024-04-26 7:51am
v10
· 8 months ago
2024-04-26 7:51am
v9
· 8 months ago
2024-04-26 7:50am
v8
· 8 months ago
2024-04-26 7:50am
v7
· 8 months ago
2024-04-26 7:50am
v6
· 8 months ago
2024-04-26 7:50am
v5
· 8 months ago
2024-04-26 7:50am
v4
· 8 months ago
2024-04-26 7:49am
v3
· 8 months ago
2024-04-26 7:49am
v2
· 8 months ago
2024-04-26 7:49am
v1
· 8 months ago
v28
2024-05-06 6:20am
Generated on May 6, 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.
210 Total Images
View All ImagesDataset Split
Train Set 100%
210Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 33% Maximum Zoom
Grayscale: Apply to 77% of images