Dataset Versions
Versions
no_augmantation
v65
· 2 years ago
blur_brightness_cutoff_noise
v64
· 2 years ago
brigntness_cutoff_noise
v63
· 2 years ago
blur_brightness_noise
v62
· 2 years ago
blur_brightness_cutoff
v61
· 2 years ago
blur_cutoff_noise
v60
· 2 years ago
blur_cutoff
v59
· 2 years ago
blur_brightness
v58
· 2 years ago
brightness_cutoff
v57
· 2 years ago
brightness_noise
v56
· 2 years ago
blur_noise
v55
· 2 years ago
cutoff_noise
v54
· 2 years ago
brightness
v53
· 2 years ago
blur
v52
· 2 years ago
noise
v51
· 2 years ago
cutoff
v50
· 2 years ago
cutoff_5_5count
v46
· 2 years ago
cutoff_10-_5count
v45
· 2 years ago
all_aug
v44
· 2 years ago
not_cutoff
v43
· 2 years ago
blur_cutoff
v42
· 2 years ago
not_noise
v41
· 2 years ago
not_brightness
v40
· 2 years ago
noise_blur
v39
· 2 years ago
brightness_blur
v38
· 2 years ago
not_blur
v37
· 2 years ago
cutoff_brightness
v36
· 2 years ago
noise_brightness
v35
· 2 years ago
blur6px
v34
· 2 years ago
blur4px
v33
· 2 years ago
blur2px
v32
· 2 years ago
brightness25
v31
· 2 years ago
brigntness15
v30
· 2 years ago
brightness35
v21
· 2 years ago
noise5
v18
· 2 years ago
noise15
v17
· 2 years ago
cutoff_5-10
v16
· 2 years ago
cutoff_15-10
v15
· 2 years ago
2022-05-12 9:10pm_no_arg
v12
· 3 years ago
2022-05-12 9:08pm_noise
v11
· 3 years ago
2022-05-12 9:08pm_cutout
v10
· 3 years ago
2022-05-12 5:31pm_340
v9
· 3 years ago
2022-05-11 10:40am
v2
· 3 years ago
2022-05-10 7:25pm
v1
· 3 years ago
v1
2022-05-10 7:25pm
Generated on May 10, 2022
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.
144 Total Images
View All Images
Dataset Split
Train Set 67%
96Images
Valid Set %
0Images
Test Set 33%
48Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Grayscale: Apply to 100% of images
Brightness: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 6% of pixels