Dataset Versions
Versions
2024-02-09 3:09am
v24
· 10 months ago
2024-02-09 3:06am
v23
· 10 months ago
2024-02-09 2:15am
v22
· 10 months ago
2024-02-09 12:59am
v21
· 10 months ago
2024-02-09 12:43am
v20
· 10 months ago
2024-02-08 10:26pm
v19
· 10 months ago
2024-02-08 10:19pm
v18
· 10 months ago
2024-02-08 9:33pm
v17
· 10 months ago
2024-02-08 9:23pm
v16
· 10 months ago
2024-02-08 8:27pm
v15
· 10 months ago
2024-02-08 8:19pm
v14
· 10 months ago
2024-02-08 8:10pm
v13
· 10 months ago
2024-02-08 8:05pm
v12
· 10 months ago
2024-02-08 6:57pm
v11
· 10 months ago
2024-02-08 6:44pm
v10
· 10 months ago
2024-02-08 6:25pm
v9
· 10 months ago
2024-02-08 6:06pm
v8
· 10 months ago
2024-02-08 4:49pm
v7
· 10 months ago
2024-02-08 4:41pm
v6
· 10 months ago
2024-02-08 4:31pm
v5
· 10 months ago
2024-02-08 3:22pm
v4
· 10 months ago
2024-02-08 2:04pm
v3
· 10 months ago
2024-02-08 1:53pm
v2
· 10 months ago
2024-02-08 1:20pm
v1
· 10 months ago
v16
2024-02-08 9:23pm
Generated on Feb 8, 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.
95 Total Images
View All Images
Dataset Split
Train Set 88%
84Images
Valid Set 12%
11Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -9° and +9°
Brightness: Between -22% and +22%
Exposure: Between -5% and +5%