Dataset Versions
Versions
2024-10-30 9:19am
v29
· 15 days ago
2024-10-30 9:18am
v28
· 15 days ago
2024-10-30 9:18am
v27
· 15 days ago
2024-10-30 9:16am
v26
· 15 days ago
2024-10-30 9:15am
v25
· 15 days ago
2024-10-30 9-13am
v24
· 15 days ago
2024-10-28 5:56am
v23
· 17 days ago
2024-10-28 5:54am
v22
· 17 days ago
low-white
v21
· 3 months ago
low-black
v20
· 3 months ago
low-orange
v19
· 3 months ago
low-green
v18
· 4 months ago
mid-white
v17
· 4 months ago
mid-green
v16
· 4 months ago
mid-orange
v15
· 4 months ago
mid-black
v14
· 4 months ago
high-project2-black
v13
· 4 months ago
high-project2-green
v12
· 4 months ago
high-project2-orange
v11
· 4 months ago
hign-project2-white
v10
· 4 months ago
hign-project1-black
v9
· 4 months ago
hign-project1-green
v8
· 4 months ago
high-project1-orange
v7
· 4 months ago
high-project1-white
v6
· 4 months ago
2024-07-18 10:10am
v5
· 4 months ago
exp4-516-no aug
v4
· 4 months ago
exp3-all-516
v3
· 4 months ago
exp2
v2
· 4 months ago
exp1
v1
· 4 months ago
v21
low-white
Generated on Aug 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.
254 Total Images
View All ImagesDataset Split
Train Set 87%
222Images
Valid Set 4%
11Images
Test Set 8%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Grayscale: Apply to 50% of images
Blur: Up to 2.5px
Mosaic: Applied