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drone3-c8zgs/9 (latest)
Versions
2024-12-01 3:10pm
v21
·
3 months ago
FASTERMORE2
v20
·
3 months ago
FASTERMORE
v19
·
3 months ago
YOLOMORE
v18
·
3 months ago
2024-11-22 11:27am
v17
·
3 months ago
YOLO1280
v16
·
3 months ago
YOLOYODA
v15
·
3 months ago
YOLOEXPORT
v14
·
3 months ago
YOLOMASTER
v13
·
4 months ago
2024-11-07 8:06am
v9
·
4 months ago
Faster-
v8
·
4 months ago
FASTER
v6
·
4 months ago
2024-10-28 11:16am
v5
·
4 months ago
2024-10-28 10:12am
v3
·
4 months ago
v20
FASTERMORE2
Generated on
Dec 1, 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.
5595 Total Images
View All Images
Dataset Split
Train
Set
88%
4896Images
Valid
Set
8%
467Images
Test
Set
4%
232Images
Preprocessing
Auto-Orient:
Applied
Resize:
Fit (black edges) in 640x640
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
Rotation:
Between -15° and +15°
Shear:
±10° Horizontal, ±10° Vertical
Grayscale:
Apply to 15% of images
Hue:
Between -17° and +17°
Blur:
Up to 0.7px
Noise:
Up to 0.02% of pixels
Cutout:
3 boxes with 4% size each
