Dataset Versions
Versions
2023-03-12 4:03pm
v28
· 2 years ago
2023-03-08 3:25pm
v27
· 2 years ago
2023-03-08 10-38am Added -1- Images
v26
· 2 years ago
2023-03-07 11-49am Changed 1- Deleted Slanted Images
v25
· 2 years ago
2023-03-02 10-51am Changed Circle
v24
· 2 years ago
2023-02-27 10:51am
v21
· 2 years ago
2023-02-16 11:54pm
v20
· 2 years ago
2023-02-16 11:51pm
v19
· 2 years ago
2023-02-16 3:10pm
v18
· 2 years ago
2023-02-15 4:30pm
v17
· 2 years ago
2023-02-13 1:51pm
v16
· 2 years ago
2023-02-12 6:04pm
v15
· 2 years ago
Backlight_raw
v14
· 2 years ago
Newly_Added_Dark_Arc_without_augmentation
v13
· 2 years ago
Newly_Added_Dark_Arc
v12
· 2 years ago
Dark20_30_40_Near
v11
· 2 years ago
ARC_Dark_Bright_Near
v9
· 2 years ago
2023-02-01 9-08pm Latest_Working
v8
· 2 years ago
2023-02-01 8-07pm Relabelled- Augmentation-shear- brightness-
v7
· 2 years ago
2023-02-01 6:27pm
v6
· 2 years ago
2023-02-01 9:25am
v5
· 2 years ago
2023-01-31 11:26pm
v4
· 2 years ago
2023-01-26 7-12pm -416x416-
v3
· 2 years ago
v7
2023-02-01 8-07pm Relabelled- Augmentation-shear- brightness-
Generated on Feb 1, 2023
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.
2032 Total Images
View All Images
Dataset Split
Train Set 88%
1779Images
Valid Set 8%
166Images
Test Set 4%
87Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Brightness: Between -40% and +40%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical