Dataset Versions
Versions
2024-11-25 11:14am
v67
· 17 days ago
2024-11-21 3:14pm
v66
· 21 days ago
2024-11-19 11:50am
v65
· 23 days ago
2024-11-13 5:19am
v64
· a month ago
2024-11-13 5:03am
v63
· a month ago
2024-11-12 8:24am
v60
· a month ago
2024-11-12 6:35am
v59
· a month ago
2024-10-29 8:16am
v56
· a month ago
2024-10-29 7:48am
v55
· a month ago
Not Preprocessed -For Filtering-
v54
· 4 months ago
Preprocessed -FULL-
v53
· 4 months ago
Filtered Set
v50
· 5 months ago
2024-07-19 2:05am
v48
· 5 months ago
2024-07-16 8:08am
v47
· 5 months ago
Scratch
v45
· 6 months ago
Pre-existing
v44
· 6 months ago
2024-06-19 2:15am
v42
· 6 months ago
2024-06-13 3:04pm
v41
· 6 months ago
2024-06-13 9:02am
v40
· 6 months ago
2024-06-13 2:23am
v39
· 6 months ago
2024-06-12 4:11pm
v36
· 6 months ago
2024-06-12 9:45am
v34
· 6 months ago
2024-06-05 10:27am
v33
· 6 months ago
2024-06-05 12:18am
v32
· 6 months ago
2024-06-04 10:00am
v31
· 6 months ago
2024-05-27 12:15pm
v30
· 6 months ago
2024-05-27 8:37am
v29
· 6 months ago
2024-05-27 7:37am
v26
· 6 months ago
2024-05-27 6:36am
v25
· 6 months ago
2024-05-20 1:10pm
v24
· 7 months ago
2024-05-19 11:02pm
v22
· 7 months ago
2024-05-19 9:42pm
v21
· 7 months ago
2024-05-19 8:44pm
v20
· 7 months ago
2024-05-19 8:10pm
v19
· 7 months ago
2024-05-17 4-02pm
v18
· 7 months ago
v67
2024-11-25 11:14am
Generated on Nov 25, 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.
8020 Total Images
View All Images
Dataset Split
Train Set 92%
7362Images
Valid Set 8%
658Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%