Clementapa commited on
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8c485d9
1 Parent(s): 4cab8ec

rename space

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Files changed (2) hide show
  1. README.md +2 -2
  2. app.py +6 -6
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- title: Orang Outan Image Video Detection
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- emoji: 🦧
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  colorFrom: green
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  colorTo: green
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  sdk: gradio
 
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  ---
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+ title: AI for Orangutan Ecosystem Surveillance
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+ emoji: 🦧🔍
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  colorFrom: green
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  colorTo: green
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  sdk: gradio
app.py CHANGED
@@ -15,13 +15,13 @@ MARKDOWN = """
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  <h1 style="text-align: center;"> WildGuardian: AI for Orangutan Ecosystem Surveillance 🦧🔍 </h1>
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  ## About the model 👁️
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- This is a demo for my YOLOv8 nano trained for orang outan detection.\\
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- The model was trained using only ~1000 images of orang outans [this dataset](https://images.cv/dataset/orangutan-image-classification-dataset) and [this dataset](https://www.kaggle.com/datasets/slothkong/10-monkey-species/data) containing ~1000 images used as background images.\\
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  Annotations were obtained using zero shot object detection method GroundingDino.\
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- The full pipeline can be found on my github repository: https://github.com/clementapa/orang-outan-image-video-detection.
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- ## About the orang outans 🦧
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  Because to habitat destruction, illicit poaching, and the pet trade, orangutans are in danger of going extinct. Their natural habitat has been significantly reduced by deforestation and the growth of palm oil plantations. Adult orangutans are occasionally sought for their body parts, and they are frequently captured and sold as pets. Climate change and disease are also taking a toll on their populations. Furthermore, it is concerning to note that they are limited to Borneo and Sumatra, two places on Earth. Sustainable practises and conservation initiatives are crucial to preventing the permanent extinction of these amazing animals.
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  ## AI for good 🌍
@@ -184,7 +184,7 @@ with gr.Blocks(theme=custom_theme, css="style.css") as demo:
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  confidence_image_slider = gr.Slider(
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  label="Confidence", minimum=0.1, maximum=1.0, step=0.05, value=0.6
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  )
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- submit_button_image = gr.Button("Let's find orang outans 🦧 !")
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  output_image = gr.Image(label="Results", type="pil")
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  with gr.Tab("Detect on a video 📹"):
@@ -209,7 +209,7 @@ with gr.Blocks(theme=custom_theme, css="style.css") as demo:
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  confidence_video_slider = gr.Slider(
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  label="Confidence", minimum=0.1, maximum=1.0, step=0.05, value=0.6
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  )
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- submit_button_video = gr.Button("Let's find orang outans 🦧 !")
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  output_video = gr.Video(label="Results")
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  submit_button_image.click(
 
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  <h1 style="text-align: center;"> WildGuardian: AI for Orangutan Ecosystem Surveillance 🦧🔍 </h1>
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  ## About the model 👁️
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+ This is a demo for my YOLOv8 nano trained for orangutan detection.\\
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+ The model was trained using only ~1000 images of orangutan [this dataset](https://images.cv/dataset/orangutan-image-classification-dataset) and [this dataset](https://www.kaggle.com/datasets/slothkong/10-monkey-species/data) containing ~1000 images used as background images.\\
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  Annotations were obtained using zero shot object detection method GroundingDino.\
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+ The full pipeline can be found on my github repository: https://github.com/clementapa/orangutan-image-video-detection.
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+ ## About the orangutans 🦧
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  Because to habitat destruction, illicit poaching, and the pet trade, orangutans are in danger of going extinct. Their natural habitat has been significantly reduced by deforestation and the growth of palm oil plantations. Adult orangutans are occasionally sought for their body parts, and they are frequently captured and sold as pets. Climate change and disease are also taking a toll on their populations. Furthermore, it is concerning to note that they are limited to Borneo and Sumatra, two places on Earth. Sustainable practises and conservation initiatives are crucial to preventing the permanent extinction of these amazing animals.
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  ## AI for good 🌍
 
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  confidence_image_slider = gr.Slider(
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  label="Confidence", minimum=0.1, maximum=1.0, step=0.05, value=0.6
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  )
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+ submit_button_image = gr.Button("Let's find orangutans 🦧 !")
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  output_image = gr.Image(label="Results", type="pil")
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  with gr.Tab("Detect on a video 📹"):
 
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  confidence_video_slider = gr.Slider(
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  label="Confidence", minimum=0.1, maximum=1.0, step=0.05, value=0.6
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  )
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+ submit_button_video = gr.Button("Let's find orangutans 🦧 !")
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  output_video = gr.Video(label="Results")
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  submit_button_image.click(