Dataset Versions
Versions
Supernatural
v11
· 2 years ago
Aimbot 2 Ultra Fast 403
v10
· 2 years ago
Aimbot 2 Ultra Fast 1230
v9
· 2 years ago
Aimbot 2 Ultra Fast 5
v8
· 2 years ago
Aimbot 2 Ultra Fast 3
v6
· 3 years ago
Aimbot 2 Ultra Fast 2
v5
· 3 years ago
Aimbot 2 Ultra Fast
v4
· 3 years ago
Aimbot 2 Version 3
v3
· 3 years ago
Aimbot 2 Version 2
v2
· 3 years ago
Aimbot 2 Version 1
v1
· 3 years ago
v6
Aimbot 2 Ultra Fast 3
Generated on May 17, 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.
2188 Total Images
View All Images
Dataset Split
Train Set 88%
1929Images
Valid Set 12%
259Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 288x288
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -180° and +180°
Saturation: Between -35% and +35%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 3% of pixels
Cutout: 25 boxes with 1% size each