TRY THIS MODEL
Drop image here to test
we-do-care-the-rivers/2 (latest)
Versions
2023-12-11 8:11pm
v19
·
a year ago
2023-12-11 9:38am
v18
·
a year ago
3326
v17
·
a year ago
2023-12-10 9:13pm
v16
·
a year ago
1818
v15
·
a year ago
768
v14
·
a year ago
2023-12-09 7:25am
v13
·
a year ago
2023-12-09 12:57am
v12
·
a year ago
2023-12-08 10:40am
v11
·
a year ago
2023-12-08 6:30am
v10
·
a year ago
2023-12-07 7:59pm
v9
·
a year ago
2023-12-05 6:45pm
v7
·
a year ago
Test-2-199 images-Bear-Justin
v6
·
a year ago
-iso-Test-2-199 images-Bear-Justin
v4
·
a year ago
Model-version1
v2
·
a year ago
Test 1 -97 images-
v1
·
a year ago
v4
-iso-Test-2-199 images-Bear-Justin
Generated on
Nov 28, 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.
1227 Total Images
View All Images
Dataset Split
Train
Set
85%
1044Images
Valid
Set
9%
112Images
Test
Set
6%
71Images
Preprocessing
Auto-Orient:
Applied
Isolate Objects:
Applied
Grayscale:
Applied
Augmentations
Outputs per training example:
3
Flip:
Horizontal, Vertical
90° Rotate:
Clockwise, Counter-Clockwise, Upside Down
Shear:
±15° Horizontal, ±15° Vertical
